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Appen is currently looking for Russian Native Speakers for speech recording in a recording studio in Sydney, Australia (Please ONLY register if you can come to the studio in Chatswood office)
Participant requirement:
- Native Russian speakers
- Able to travel to our recording studio in Chatswood, NSW (travel cost not covered by Appen)
- Able to record during business hours (8:30am - 5:30pm), some after-hour sessions can also be arranged
- At least 1 year driving experience
- No speech impediment
- Ability to follow instructions
Project detail:
- Recording location: 5 mins walk from Chatswood Station
- Voice recording based on instructions displayed in monitor
- One-off task
- From 17 Dec 2018 to 28 Feb 2019
- $70/approx. 1.5 hrs, recordings for some selected participants
- Participants will be selected based on demographic requirements
Note: Please apply ONLY if you can come to do the recordings in Sydney. Participants who live in another city and not be able to travel should NOT apply.
We are an equal opportunity company and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Appen is currently looking for Mandarin Native Speakers for speech recording in a recording studio in Sydney, Australia (Please ONLY register if you can come to the studio in Chatswood office)
Participant requirement:
- Native Mandarin speakers
- Able to travel to our recording studio in Chatswood, NSW (travel cost not covered by Appen)
- Able to record during business hours (8:30am - 5:30pm), some after-hour sessions can also be arranged
- At least 1 year driving experience
- No speech impediment
- Ability to follow instructions
Project detail:
- Recording location: 5 mins walk from Chatswood Station
- Voice recording based on instructions displayed in monitor
- One-off task
- From 17 Dec 2018 to 28 Feb 2019
- $70/approx. 1.5 hrs, recordings for some selected participants
- Participants will be selected based on demographic requirements
Note: Please apply ONLY if you can come to do the recordings in Sydney. Participants who live in another city and not be able to travel should NOT apply.
We are an equal opportunity company and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Appen is currently looking for Korean Native Speakers for speech recording in a recording studio in Sydney, Australia (Please ONLY register if you can come to the studio in Chatswood office)
Participant requirement:
- Native Korean speakers
- Able to travel to our recording studio in Chatswood, NSW (travel cost not covered by Appen)
- Able to record during business hours (8:30am - 5:30pm), some after-hour sessions can also be arranged
- At least 1 year driving experience
- No speech impediment
- Ability to follow instructions
Project detail:
- Recording location: 5 mins walk from Chatswood Station
- Voice recording based on instructions displayed in monitor
- One-off task
- From 17 Dec 2018 to 28 Feb 2019
- $70/approx. 1.5 hrs, recordings for some selected participants
- Participants will be selected based on demographic requirements
Note: Please apply ONLY if you can come to do the recordings in Sydney. Participants who live in another city and not be able to travel should NOT apply.
We are an equal opportunity company and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Appen, a global leader in language and search technology is running a paid language-based project to improve online user experience.
We are looking for native German or French speakers who can Translate German to French.
Location: Remote (Work from home)
The Project: Participants will be translating German content to US English
Requirements:
- Native or near-native German skills
- Very good grammar and spelling skills in target languages
- Reliable internet connection
- Experience in translation
Preferred Skills:
- Degree in translation or linguistics (or related field) or equivalent experience
- Experience in Post Editing
If you or someone in your circle of friends meet the requirements and is interested in contributing to this project, apply now!
Detailed project information and instructions will be provided shortly after you have enrolled.
Appen constantly seeks motivated freelancers to support their translation, transcription, annotation and data collection teams. Your successful contribution to this project will grant you a space in our database and a good chance to be considered for projects in the future.
We are looking forward to receiving your application.
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Appen is a global company with more than 20 years’ experience in data annotation, collection, evaluation and transcription and a track record for successfully enhancing image, speech, text and video data for use in machine learning and artificial intelligence.
The successful candidate would join a team working on a Tagalog transcription project, supervising a team of remote transcribers, monitoring their throughput and assisting with quality control.
Required Knowledge, Skills and Abilities:
- Must be a native speaker of Tagalog
- Good working knowledge of English
- Efficiency and attention to detail
- Good computer and typing skills
- Must have intermediate skills in Microsoft Office (including Excel) and Google sheets
Preferred Knowledge, Skills and Abilities:
- Translation experience
- Project management experience highly regarded
- Experience in project management is preferred but not essential
- Decent knowledge of the local popular culture in the target language
Project start date and length:
- The successful candidate would be able to work between 30-40 hours a week, Monday to Friday during 9-5 business hours .
- Work remotely in Philippines
- Availability to work full-time will be considered an advantage.
Estimated weekly hours: Full-time position – 30-40 hours a week.
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Appen is a global company with more than 20 years’ experience in data annotation, collection, evaluation and transcription and a track record for successfully enhancing image, speech, text and video data for use in machine learning and artificial intelligence.
The successful candidate would join a team working on a Tagalog transcription project, supervising a team of remote transcribers, monitoring their throughput and assisting with quality control.
Required Knowledge, Skills and Abilities:
- Must be a native speaker of Tagalog
- Good working knowledge of English
- Efficiency and attention to detail
- Good computer and typing skills
- Must have intermediate skills in Microsoft Office (including Excel) and Google sheets
Preferred Knowledge, Skills and Abilities:
- Translation experience
- Project management experience highly regarded
- Experience in project management is preferred but not essential
- Decent knowledge of the local popular culture in the target language
Project start date and length:
The successful candidate would be able to work between 30-40 hours a week to full time, Monday to Friday during 9-5 business hours at our Chatswood office. Availability to work full-time will be considered an advantage.
Estimated weekly hours:
30-40 hours a week, flexible and negotiable with the right candidate.
This is a full time position.
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Appen is an award-winning organization. Our people help leading technology companies expand into new global markets. With capability in over 180 languages, Appen’s global network of specialists and in-country virtual teams work together to ensure new products and technologies operate in all the languages our clients need. Whether our clients need help for in-vehicle speech recognition technology, improving search engine performance or building translation software, Appen delivers.
We are proud to have been named in Forbes Magazine as one of the Top 100 Companies Offering Flexible Jobs in 2014, 2015, 2016 and 2017.
Computational Linguist - Arabic, Thai, US English
Appen is seeking resumes of native level Arabic or Thai or US English speakers with computational linguistics background. The work will be part time, starting as soon as possible. The work would start as a remote, work-from home engagement but all candidates need to be able to work onsite in either San Francisco Bay Area (preferred) or Seattle once the project is underway.
Responsibilities
The successful candidate will be engaged in general responsibilities:
o Collaboratively develop complex and consistent linguistic analyses
o Pilot new label sets to test their feasibility
o Determine quality standards for annotation
o Annotate language data with linguistic information
o Curate large amounts of annotated data by analyzing annotations, comparing annotations to guidelines, and building gold analyses
Additionally the successful candidate will take on at least one of the following roles; ontology manager, tools developer, data quality engineer, technical writer, grammar developer, dialog generator and assistant designer.
Qualifications
· Academic degree in Linguistics, Computational Linguistics, Language Technologies, or related field
· Interest and experience in various areas of linguistics, including pragmatics, semantics, syntax, morphology,
phonology, phonetics, discourse analysis, sociolinguistics, psycholinguistics, and field work
· Ability to formulate, articulate, and describe concepts and hypotheses that are broad enough to capture high-level
concepts and specific enough to formalize as rules
· Strong language data analytical skills
· Collaborative and solution-oriented attitude
· Eagerness to learn new skills and adapt to a changing environment
· Strong problem solving and analytical skills
· Enthusiasm for detail work and ability to focus for significant portions of the work day
· Experience with basic programming techniques
· Ability to speak and write in English fluently and idiomatically
Preferred Qualifications
· Advanced degree and/or industry experience
· Fluency in two or more natural languages
· Experience working with large ontologies and label sets
· Familiarity with version control, unit tests, and other programming best practices
· Familiarity with languages such as Python, PHP, Perl, and C++
We take pride in our diverse team and our flexible work opportunities, and as a publicly traded company our efforts and earned us the first place ranking in the FlexJobs Top 100 Companies index. Deloitte also recognized Appen with the 2017 Asia Pacific Technology Fast 500 and the Technology Fast 50 Australia awards.
We are an equal opportunity company and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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We are currently looking for computational linguists with native level Gulf Arabic language skills, as independent contractors, who would assist the client with their NLU data procurement in an effort to develop a speech recognizer. The computational linguist would work with the client's team of NLU linguists and engineer to develop their speech recognizer. Tasks will include:
1. help determine specifications of the project,
2. setup new collections or
3. help determine if existing data may be reused.
Other tasks include building of the language models:
4.writing grammars,
5. drafting slot lists, and
6. training statistical models.
All work will be done remotely on a client provided, secure device. Candidates should be available for approximately 24 hours per week, starting in January 2019. Qualifying candidates must pass a technical screener as well as a background check.
Project Description
The project focuses on assisting the client with their NLU data procurement. The client will provide training for their proprietary tools for data activities and NLU buffers building. All work can be performed remotely, in contact and with the support of the client's NLU team members.
Start date: January 2019
Length: 40 weeks
Average hours: 24 per week
Detailed Task
The computational linguist would help determine specifications of the project, setup new collections or help determine if existing data may be reused. Other tasks include building of the language models: writing grammars, drafting slot lists, and training statistical models.
Requirements
Advanced degree in Computational Linguistics, Linguistics, Computer Science, Engineering, Statistics, or other relevant technical field
Native-level speaker of Gulf Arabic
Fluency in English (written and oral)
Preferred Skills
Industry experience in NLU
We take pride in our diverse team and our flexible work opportunities, and as a publicly traded company our efforts and earned us the first place ranking in the FlexJobs Top 100 Companies index. Deloitte also recognized Appen with the 2017 Asia Pacific Technology Fast 500 and the Technology Fast 50 Australia awards.
We are an equal opportunity company and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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We are currently looking for computational linguists with native level Thai language skills, as independent contractors, who would assist the client with their NLU data procurement in an effort to develop a speech recognizer. The computational linguist would work with the client's team of NLU linguists and engineer to develop their speech recognizer. Tasks will include:
1. help determine specifications of the project,
2. setup new collections or
3. help determine if existing data may be reused.
Other tasks include building of the language models:
4.writing grammars,
5. drafting slot lists, and
6. training statistical models.
All work will be done remotely on a client provided, secure device. Candidates should be available for approximately 24 hours per week, starting in January 2019. Qualifying candidates must pass a technical screener as well as a background check.
Project Description
The project focuses on assisting the client with their NLU data procurement. The client will provide training for their proprietary tools for data activities and NLU buffers building. All work can be performed remotely, in contact and with the support of the client's NLU team members.
Start date: January 2019
Length: 40 weeks
Average hours: 24 per week
Detailed Task
The computational linguist would help determine specifications of the project, setup new collections or help determine if existing data may be reused. Other tasks include building of the language models: writing grammars, drafting slot lists, and training statistical models.
Requirements
Advanced degree in Computational Linguistics, Linguistics, Computer Science, Engineering, Statistics, or other relevant technical field
Native-level speaker of Thai
Fluency in English (written and oral)
Preferred Skills
Industry experience in NLU
We take pride in our diverse team and our flexible work opportunities, and as a publicly traded company our efforts and earned us the first place ranking in the FlexJobs Top 100 Companies index. Deloitte also recognized Appen with the 2017 Asia Pacific Technology Fast 500 and the Technology Fast 50 Australia awards.
We are an equal opportunity company and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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We are currently looking for computational linguists with native level Turkish language skills, as independent contractors, who would assist the client with their NLU data procurement in an effort to develop a speech recognizer. The computational linguist would work with the client's team of NLU linguists and engineer to develop their speech recognizer. Tasks will include:
1. help determine specifications of the project,
2. setup new collections or
3. help determine if existing data may be reused.
Other tasks include building of the language models:
4.writing grammars,
5. drafting slot lists, and
6. training statistical models.
All work will be done remotely on a client provided, secure device. Candidates should be available for approximately 24 hours per week, starting in January 2019. Qualifying candidates must pass a technical screener as well as a background check.
Project Description
The project focuses on assisting the client with their NLU data procurement. The client will provide training for their proprietary tools for data activities and NLU buffers building. All work can be performed remotely, in contact and with the support of the client's NLU team members.
Start date: January 2019
Length: 40 weeks
Average hours: 24 per week
Detailed Task
The computational linguist would help determine specifications of the project, setup new collections or help determine if existing data may be reused. Other tasks include building of the language models: writing grammars, drafting slot lists, and training statistical models.
Requirements
Advanced degree in Computational Linguistics, Linguistics, Computer Science, Engineering, Statistics, or other relevant technical field
Native-level speaker of Turkish
Fluency in English (written and oral)
Preferred Skills
Industry experience in NLU
We take pride in our diverse team and our flexible work opportunities, and as a publicly traded company our efforts and earned us the first place ranking in the FlexJobs Top 100 Companies index. Deloitte also recognized Appen with the 2017 Asia Pacific Technology Fast 500 and the Technology Fast 50 Australia awards.
We are an equal opportunity company and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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We are currently looking for computational linguists with native level Norwegian language skills, as independent contractors, who would assist the client with their NLU data procurement in an effort to develop a speech recognizer. The computational linguist would work with the client's team of NLU linguists and engineer to develop their speech recognizer. Tasks will include:
1. help determine specifications of the project,
2. setup new collections or
3. help determine if existing data may be reused.
Other tasks include building of the language models:
4.writing grammars,
5. drafting slot lists, and
6. training statistical models.
All work will be done remotely on a client provided, secure device. Candidates should be available for approximately 24 hours per week, starting in January 2019. Qualifying candidates must pass a technical screener as well as a background check.
Project Description
The project focuses on assisting the client with their NLU data procurement. The client will provide training for their proprietary tools for data activities and NLU buffers building. All work can be performed remotely, in contact and with the support of the client's NLU team members.
Start date: January 2019
Length: 40 weeks
Average hours: 24 per week
Detailed Task
The computational linguist would help determine specifications of the project, setup new collections or help determine if existing data may be reused. Other tasks include building of the language models: writing grammars, drafting slot lists, and training statistical models.
Requirements
Advanced degree in Computational Linguistics, Linguistics, Computer Science, Engineering, Statistics, or other relevant technical field
Native-level speaker of Norwegian
Fluency in English (written and oral)
Preferred Skills
Industry experience in NLU
We take pride in our diverse team and our flexible work opportunities, and as a publicly traded company our efforts and earned us the first place ranking in the FlexJobs Top 100 Companies index. Deloitte also recognized Appen with the 2017 Asia Pacific Technology Fast 500 and the Technology Fast 50 Australia awards.
We are an equal opportunity company and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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We are currently looking for computational linguists with native level Danish language skills, as independent contractors, who would assist the client with their NLU data procurement in an effort to develop a speech recognizer. The computational linguist would work with the client's team of NLU linguists and engineer to develop their speech recognizer. Tasks will include:
1. help determine specifications of the project,
2. setup new collections or
3. help determine if existing data may be reused.
Other tasks include building of the language models:
4.writing grammars,
5. drafting slot lists, and
6. training statistical models.
All work will be done remotely on a client provided, secure device. Candidates should be available for approximately 24 hours per week, starting in January 2019. Qualifying candidates must pass a technical screener as well as a background check.
Project Description
The project focuses on assisting the client with their NLU data procurement. The client will provide training for their proprietary tools for data activities and NLU buffers building. All work can be performed remotely, in contact and with the support of the client's NLU team members.
Start date: January 2019
Length: 40 weeks
Average hours: 24 per week
Detailed Task
The computational linguist would help determine specifications of the project, setup new collections or help determine if existing data may be reused. Other tasks include building of the language models: writing grammars, drafting slot lists, and training statistical models.
Requirements
Advanced degree in Computational Linguistics, Linguistics, Computer Science, Engineering, Statistics, or other relevant technical field
Native-level speaker of Danish
Fluency in English (written and oral)
Preferred Skills
Industry experience in NLU
We take pride in our diverse team and our flexible work opportunities, and as a publicly traded company our efforts and earned us the first place ranking in the FlexJobs Top 100 Companies index. Deloitte also recognized Appen with the 2017 Asia Pacific Technology Fast 500 and the Technology Fast 50 Australia awards.
We are an equal opportunity company and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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We are currently looking for computational linguists with native level Swedish language skills, as independent contractors, who would assist the client with their NLU data procurement in an effort to develop a speech recognizer. The computational linguist would work with the client's team of NLU linguists and engineer to develop their speech recognizer. Tasks will include:
1. help determine specifications of the project,
2. setup new collections or
3. help determine if existing data may be reused.
Other tasks include building of the language models:
4.writing grammars,
5. drafting slot lists, and
6. training statistical models.
All work will be done remotely on a client provided, secure device. Candidates should be available for approximately 24 hours per week, starting in January 2019. Qualifying candidates must pass a technical screener as well as a background check.
Project Description
The project focuses on assisting the client with their NLU data procurement. The client will provide training for their proprietary tools for data activities and NLU buffers building. All work can be performed remotely, in contact and with the support of the client's NLU team members.
Start date: January 2019
Length: 40 weeks
Average hours: 24 per week
Detailed Task
The computational linguist would help determine specifications of the project, setup new collections or help determine if existing data may be reused. Other tasks include building of the language models: writing grammars, drafting slot lists, and training statistical models.
Requirements
Advanced degree in Computational Linguistics, Linguistics, Computer Science, Engineering, Statistics, or other relevant technical field
Native-level speaker of Swedish
Fluency in English (written and oral)
Preferred Skills
Industry experience in NLU
We take pride in our diverse team and our flexible work opportunities, and as a publicly traded company our efforts and earned us the first place ranking in the FlexJobs Top 100 Companies index. Deloitte also recognized Appen with the 2017 Asia Pacific Technology Fast 500 and the Technology Fast 50 Australia awards.
We are an equal opportunity company and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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We are currently looking for computational linguists with native level Polish language skills, as independent contractors, who would assist the client with their NLU data procurement in an effort to develop a speech recognizer. The computational linguist would work with the client's team of NLU linguists and engineer to develop their speech recognizer. Tasks will include:
1. help determine specifications of the project,
2. setup new collections or
3. help determine if existing data may be reused.
Other tasks include building of the language models:
4.writing grammars,
5. drafting slot lists, and
6. training statistical models.
All work will be done remotely on a client provided, secure device. Candidates should be available for approximately 24 hours per week, starting in January 2019. Qualifying candidates must pass a technical screener as well as a background check.
Project Description
The project focuses on assisting the client with their NLU data procurement. The client will provide training for their proprietary tools for data activities and NLU buffers building. All work can be performed remotely, in contact and with the support of the client's NLU team members.
Start date: January 2019
Length: 40 weeks
Average hours: 24 per week
Detailed Task
The computational linguist would help determine specifications of the project, setup new collections or help determine if existing data may be reused. Other tasks include building of the language models: writing grammars, drafting slot lists, and training statistical models.
Requirements
Advanced degree in Computational Linguistics, Linguistics, Computer Science, Engineering, Statistics, or other relevant technical field
Native-level speaker of Polish
Fluency in English (written and oral)
Preferred Skills
Industry experience in NLU
We take pride in our diverse team and our flexible work opportunities, and as a publicly traded company our efforts and earned us the first place ranking in the FlexJobs Top 100 Companies index. Deloitte also recognized Appen with the 2017 Asia Pacific Technology Fast 500 and the Technology Fast 50 Australia awards.
We are an equal opportunity company and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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We are currently looking for computational linguists with native level Czech language skills, as independent contractors, who would assist the client with their NLU data procurement in an effort to develop a speech recognizer. The computational linguist would work with the client's team of NLU linguists and engineer to develop their speech recognizer. Tasks will include:
1. help determine specifications of the project,
2. setup new collections or
3. help determine if existing data may be reused.
Other tasks include building of the language models:
4.writing grammars,
5. drafting slot lists, and
6. training statistical models.
All work will be done remotely on a client provided, secure device. Candidates should be available for approximately 24 hours per week, starting in January 2019. Qualifying candidates must pass a technical screener as well as a background check.
Project Description
The project focuses on assisting the client with their NLU data procurement. The client will provide training for their proprietary tools for data activities and NLU buffers building. All work can be performed remotely, in contact and with the support of the client's NLU team members.
Start date: January 2019
Length: 40 weeks
Average hours: 24 per week
Detailed Task
The computational linguist would help determine specifications of the project, setup new collections or help determine if existing data may be reused. Other tasks include building of the language models: writing grammars, drafting slot lists, and training statistical models.
Requirements
Advanced degree in Computational Linguistics, Linguistics, Computer Science, Engineering, Statistics, or other relevant technical field
Native-level speaker of Czech
Fluency in English (written and oral)
Preferred Skills
Industry experience in NLU
We take pride in our diverse team and our flexible work opportunities, and as a publicly traded company our efforts and earned us the first place ranking in the FlexJobs Top 100 Companies index. Deloitte also recognized Appen with the 2017 Asia Pacific Technology Fast 500 and the Technology Fast 50 Australia awards.
We are an equal opportunity company and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Требуются носители русского языка для проекта по сбору речевых данных!
Telephony Speech Collection Project – Russian (Проект по сбору записей телефонных разговоров на русском языке)
Здравствуйте!
Компания Appen занимается разработкой систем автоматического распознавания речи и лингвистическими технологиями в области обслуживания клиентов. Стратегическая цель компании – обеспечить полноценный диалог между пользователями и машиной в таких сферах, как банковские услуги, индустрия гостеприимства, ритейл и других. Подробную информацию о системах распознавании речи можно узнать, перейдя по ссылке.
В рамках решения этих задач Appenзапускает проект по сбору и обработке образцов телефонных разговоров для носителей русского языка. Мы предоставляем все необходимое для выполнения задания: телефонную платформу для записи звонков (персональные данные участников разговора не собираются и не хранятся), широкий список тем для обсуждения (например, культура, спорт, развлечения или новости), а также оплату в размере USD $15 (~1000 руб.) за 4 звонка продолжительностью 15 минут каждый, которая оперативно перечисляется на ваш счет в PayPal или Payoneer. Если вы выполните менее 4 звонков, мы переведем оплату из расчета USD $3.75 (250 руб.) за один звонок.
Чтобы принять участие в задании, оба участника разговора должны соответствовать нескольким требованиям:
- быть старше 18 лет;
- быть носителями русского языка (русский язык – родной для обоих участников);
- находиться на территории России;
- иметь мобильный телефон (звонки не могут совершаться со стационарных телефонов);
- быть новыми участниками проекта (максимальное количество возможных звонков от каждого участника – 4, вне зависимости от того, звонящий это или принимающий звонок).
Чтобы зарегистрироваться в качестве участника проекта, пожалауйста, перейдите по ссылке ниже и заполните анкету:
https://appen.formstack.com/forms/eoi_rus
Благодарим за интерес к нашему проекту и будем рады вашему участию!
С наилучшими пожеланиями,
TheAppenGlobal
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음성 녹음 프로젝트에 참여할 한국어 사용자를 찾습니다!
전화 음성 수집 프로젝트 –한국어
안녕하세요,
Appen에서는 고객 관리 서비스 분야에서 이용될 협력사의 차세대 인공 지능 대화식 음성 응답(IVR) 시스템 구축을 돕기 위하여, 대규모 음성 수집 프로젝트를 진행하게 되었습니다. 이 프로젝트의 궁극적인 목표는 실제 사람의 개입이 전혀 없는 상황 혹은 최소한의 개입만으로 금융, 숙박 등과 관련된 일상적인 상황 및 문의 사항에 대해 기계가 고객과 소통, 고객에 대하여 반응하도록 하는 것입니다. IVR 시스템에 대한 보다 자세한 정보는 이곳 (https://goo.gl/tY8oLg)에서 확인 가능합니다.
이에 저희는 리서치 및 머신 트레이닝의 목적으로, 사람들이 전화 상으로 나누는 일반적 대화의 음성 샘플들을 수집하고 있습니다.
작업을 위한 모든 것은 저희가 제공해드릴 예정입니다 : 통화 녹음을 위한 웹 인터페이스 접속 권한(개인 정보 관련 데이터는 수집되지 않을 것입니다.), 선택 가능한 대화 주제 목록(예시 : 연휴, 극장, 친구, 금융), 각 15분 상당의 네 건의 전화 통화에 대해 Paypal 혹은 Payoneer를 통해 지불 될 좋은 조건의 참여 비 $28 USD (네 건 미만의 통화를 한 경우에는, 그에 비례하는 만큼만을 지불 받게 됩니다.)
참여자와 수신자는 반드시:
- 18세 이상이어야 만 합니다.
- 한국어가 모국어인 한국에 거주 중인 사람(양쪽 모두 현지 한국인들의 억양을 가져야만 합니다.)
- 해당 프로젝트에 참여한 적이 없어야 만 합니다.
- 본인 소유의 휴대 전화가 있어야만 합니다.(유선 전화는 사용이 불가합니다.)
작업에 등록하기 위해서는 하단의 링크를 클릭한 후 가능한 빨리 해당 양식을 제출해주시기 바랍니다. :
https://appen.formstack.com/forms/eoi_kor
부디 함께 작업하게 되기를 바랍니다. 필요한 만큼의 참여자 수가 채워지면 프로젝트가 종료 됩니다. 빠른 참여 부탁드립니다.
감사합니다, 좋은 하루 보내세요!
Appen 글로벌 팀
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Norwegian Linguist
We are currently looking for computer scientists or computational linguists as freelancers who could add Norwegian to the languages supported by an NLU system. Candidates should be available for 20-40 hours per week, ideally during European business hours. The job will consist of porting from English or Swedish to Norwegian resources used by our Machine-Learning-based NLU system, which is an AI (Artificial Intelligence) component integrated into products used by millions of people all over the world, and to improve them over time. The work will involve the development of grammars and lexical resources, the correction of annotated data, and other adjustments of the system.
Detailed Task
- Creation of resources to be used for Speech Recognition software
- Development of grammars for Natural Language Understanding
- (Re)Training of Machine Learning models for NLU, including evaluation and error analysis
- Text manipulation and data processing
- Localization of data, online surveys, etc. into Norwegian (Bokmål and Nynorsk)
The qualified candidate will be working anywhere from 20 to 40 hours per week.
Start date will be disucussed with qualified candidates.
Requirements
- Bachelor or Master in Computer Science, Engineering, Statistics, Computational Linguistics, or other relevant technical field
- (Near-)native speakers of Norwegian
- Affinity with statistics and Machine Learning
- Solid Unix skills (bash)
- Sound knowledge of regular expressions and a scripting language such as Python or Perl
- Familiarity with version-control software (git, svn)
- Fluency in English (written and oral)
- Knowledge of Swedish highly desirable
We take pride in our diverse team and our flexible work opportunities, and as a publicly traded company our efforts and earned us the first place ranking in the FlexJobs Top 100 Companies index. Deloitte also recognized Appen with the 2017 Asia Pacific Technology Fast 500 and the Technology Fast 50 Australia awards.
We are an equal opportunity company and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Danish Linguist
We are currently looking for computer scientists or computational linguists as freelancers who could add Danish to the languages supported by an NLU system. Candidates should be available for 20-40 hours per week, ideally during European business hours. The job will consist of porting from English or Swedish to Danish resources used by our Machine-Learning-based NLU system, which is an AI (Artificial Intelligence) component integrated into products used by millions of people all over the world, and to improve them over time. The work will involve the development of grammars and lexical resources, the correction of annotated data, and other adjustments of the system.
Detailed Task
- Creation of resources to be used for Speech Recognition software
- Development of grammars for Natural Language Understanding
- (Re)Training of Machine Learning models for NLU, including evaluation and error analysis
- Text manipulation and data processing
- Localization of data, online surveys, etc. into Danish
Successful candidate will work anywhere from 20 to 40 hours per week.
Start date will be discussed with qualified candidates.
Requirements
- Bachelor or Master in Computer Science, Engineering, Statistics, Computational Linguistics, or other relevant technical field
- (Near-)native speakers of Danish
- Affinity with statistics and Machine Learning
- Solid Unix skills (bash)
- Sound knowledge of regular expressions and a scripting language such as Python or Perl
- Familiarity with version-control software (git, svn)
- Fluency in English (written and oral)
- Knowledge of Swedish highly desirable
We take pride in our diverse team and our flexible work opportunities, and as a publicly traded company our efforts and earned us the first place ranking in the FlexJobs Top 100 Companies index. Deloitte also recognized Appen with the 2017 Asia Pacific Technology Fast 500 and the Technology Fast 50 Australia awards.
We are an equal opportunity company and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Purpose of the Position
Reporting to the Accounts Payable Supervisor (Crowd), the purpose of this position is to provide superior customer service to Appen’s crowd workers in relation to the invoicing and payment functions.
Key Internal Stakeholders
- Accounts Payable Supervisor (Crowd)
- Project Managers
- Financial Accounting Team
- Payroll Team
Key External Stakeholders
- Crowd Workers
- Payment Providers
Duties and Responsibilities
- Provide superior and timely customer service to crowd workers in relation to payment and invoicing inquiries. Customer service to be delivered via email and internal ticketing system.
- Research payment inquiries, including undertaking research in Appen’s internal platform, payment provider platforms, and liaising with payment providers.
- Actively monitor and follow up outstanding queries and ensure Appen’s crowd workers’ expectations are managed and met.
- Maintain great relationships with Appen’s crowd workers.
- Ad hoc tasks as directed by the Accounts Payable Supervisor (Crowd).
Experience and Qualifications
- Excellent written and spoken Business English.
- Degree in Accountancy, Business, Commerce or related field.
- 2+ years experience.
- Experience working in a multinational company and communicating with colleagues and others around the Globe.
- Intermediate proficiency in Microsoft Excel.
- Basic to intermediate proficiency in Microsoft Word and Microsoft Outlook.
- Excellent attention to detail, ability to prioritise and consistently meet deadlines.
Personal Attributes
- Ability to work in a fast-paced, deadline-driven culture.
- Ability to work effectively in a virtual environment.
- Ability to work as part of a team as well as independently.
- Able to respond quickly and positively to new or changed initiatives.
- Excellent interpersonal communication skills.
- Flexible, independent, calm and self-motivated.