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Search Results Page 5 of 5

Job Locations VN-Remote
Posted Date 8 months ago(4/16/2021 12:51 AM)
Project Overview   The project involves updating the Vietnamese lexicon used by our client’s suite of proofing tools (spell-checker, etc.) to incorporate new vocabulary related to COVID-19. - The Dev role will primarily involve compiling a list of new words to add to the lexicon, sorting these words into templates based on characteristics such as part of speech and inflection pattern, creating any necessary new templates, and updating the lexicon using the client's software. Qualifications - - A degree in linguistics or related field. - Strong knowledge of Vietnamese morphology, inflection patterns, and current usage. - Guidance on using the client software will be provided but good technical skills and an aptitude for learning to use new software will be helpful. - Time engagement: 2-3 weeks; est. 29 hours total; starting ASAP - The QA role will primarily involve reviewing the vocabulary list and template classifications provided by Dev, and reviewing the output from various tests that will be run on the lexicon after it has been updated to ensure that all changes are expected. Qualifications - - A degree in linguistics or related field. - Strong knowledge of Vietnamese morphology, inflection patterns, and current usage. - Guidance on using the client software will be provided but good technical skills and an aptitude for learning to use new software will be helpful. - Time engagement: 2-3 weeks; est. 13 hours total; starting ASAP About Appen   Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Our expertise includes having a global crowd of over one million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries, and the industry’s most advanced AI-assisted data annotation platform. Our reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. Founded in 1996, Appen has customers and offices globally.   At Appen, we value performance, honesty, humility, and grit. We persevere and remain focused, whilst maintaining agility to achieve quality outcomes and exceed expectations. We’re truth tellers – respectfully of course. We take accountability for our actions, and believe in giving and receiving direct feedback. We give credit where credit is due, and show gratitude to others for their contributions. We seek diverse perspectives as we recognize the value in teamwork and collaboration. Through grit, we take ownership, and we don’t give up.  
ID
2021-5305
City
Remote
Job Locations ID-Remote
Posted Date 8 months ago(4/16/2021 12:17 AM)
Project Overview   The project involves updating the Indonesian lexicon used by our client’s suite of proofing tools (spell-checker, etc.) to incorporate new vocabulary related to COVID-19. - The QA role will primarily involve reviewing the vocabulary list and template classifications provided by Dev, and reviewing the output from various tests that will be run on the lexicon after it has been updated to ensure that all changes are expected. Qualifications - - - A degree in linguistics or related field. - Strong knowledge of Indonesian morphology, inflection patterns, and current usage. - Guidance on using the client software will be provided but good technical skills and an aptitude for learning to use new software will be helpful. - Time engagement: 2-3 weeks; est. 13 hours total; starting ASAP - The Dev role will primarily involve compiling a list of new words to add to the lexicon, sorting these words into templates based on characteristics such as part of speech and inflection pattern, creating any necessary new templates, and updating the lexicon using the client's software. Qualifications - - - A degree in linguistics or related field. - Strong knowledge of Indonesian morphology, inflection patterns, and current usage. - Guidance on using the client software will be provided but good technical skills and an aptitude for learning to use new software will be helpful. - Time engagement: 2-3 weeks; est. 29 hours total; starting ASAP About Appen   Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Our expertise includes having a global crowd of over one million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries, and the industry’s most advanced AI-assisted data annotation platform. Our reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. Founded in 1996, Appen has customers and offices globally.   At Appen, we value performance, honesty, humility, and grit. We persevere and remain focused, whilst maintaining agility to achieve quality outcomes and exceed expectations. We’re truth tellers – respectfully of course. We take accountability for our actions, and believe in giving and receiving direct feedback. We give credit where credit is due, and show gratitude to others for their contributions. We seek diverse perspectives as we recognize the value in teamwork and collaboration. Through grit, we take ownership, and we don’t give up.  
ID
2021-5304
City
Remote
Job Locations GR-Remote
Posted Date 8 months ago(4/16/2021 12:09 AM)
Project Overview   The project involves updating the Greek lexicon used by our client’s suite of proofing tools (spell-checker, etc.) to incorporate new vocabulary related to COVID-19. - The Dev role will primarily involve compiling a list of new words to add to the lexicon, sorting these words into templates based on characteristics such as part of speech and inflection pattern, creating any necessary new templates, and updating the lexicon using the client's software. Qualifications - - A degree in linguistics or related field. - Strong knowledge of Greek morphology, inflection patterns, and current usage. - Guidance on using the client software will be provided but good technical skills and an aptitude for learning to use new software will be helpful. - Time engagement: 2-3 weeks; est. 29 hours total; starting ASAP - The QA role will primarily involve reviewing the vocabulary list and template classifications provided by Dev, and reviewing the output from various tests that will be run on the lexicon after it has been updated to ensure that all changes are expected. Qualifications - - A degree in linguistics or related field. - Strong knowledge of Greek morphology, inflection patterns, and current usage. - Guidance on using the client software will be provided but good technical skills and an aptitude for learning to use new software will be helpful. - Time engagement: 2-3 weeks; est. 13 hours total; starting ASAP About Appen   Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Our expertise includes having a global crowd of over one million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries, and the industry’s most advanced AI-assisted data annotation platform. Our reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. Founded in 1996, Appen has customers and offices globally.   At Appen, we value performance, honesty, humility, and grit. We persevere and remain focused, whilst maintaining agility to achieve quality outcomes and exceed expectations. We’re truth tellers – respectfully of course. We take accountability for our actions, and believe in giving and receiving direct feedback. We give credit where credit is due, and show gratitude to others for their contributions. We seek diverse perspectives as we recognize the value in teamwork and collaboration. Through grit, we take ownership, and we don’t give up.      
ID
2021-5303
City
Remote
Job Locations US-TX-Plano
Posted Date 7 months ago(5/3/2021 7:06 AM)
In the Wilderness project, our goal is to make it easier to find the answers to your questions and queries. We categorize queries/questions to help train algorithms to better understand what is being asked and we rate the answers given so only the best ones make it through. By working on this project, you're directly helping to improve the way we find things online and bettering how AI and algorithms understand the questions we ask them.   For this task you will be presented with (1) a query that likely asks a question, (2) a response that attempts to answer the question in the query, (3) a short answer span extracted from this response that attempts to answer the query more succinctly, and (4) a response source, which is the webpage that the response comes from. Your job is to review the provided query, the response, and the response source and then answer a few questions about them.   This part-time work opportunity includes paid training, diverse task types, and an opportunity to improve smart assistant tasks for millions of users. Join Project Wilderness!   Other Things You Need to Know: - Must be able to work on a hybrid model of remote and onsite work (office will be in Plano, TX) - 20 hours/week (Monday to Friday - (8AM to 12PM or 1PM to 5PM) - Must submit a resume upon application - At least fluent in the English language. - Agreeable to a part-time contract - Can start ASAP   About Appen   Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Our expertise includes having a global crowd of over one million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries, and the industry’s most advanced AI-assisted data annotation platform. Our reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. Founded in 1996, Appen has customers and offices globally.   At Appen, we value performance, honesty, humility, and grit. We persevere and remain focused, whilst maintaining agility to achieve quality outcomes and exceed expectations. We’re truth tellers – respectfully of course. We take accountability for our actions, and believe in giving and receiving direct feedback. We give credit where credit is due, and show gratitude to others for their contributions. We seek diverse perspectives as we recognize the value in teamwork and collaboration. Through grit, we take ownership, and we don’t give up.  
ID
2021-5299
City
Plano
Job Locations SA-Remote
Posted Date 11 months ago(1/3/2021 6:39 PM)
We are looking for an Arabic Linguist for a project that is currently in progress and is expected to continue through at least February 2021   The work requires an Arabic linguist (any dialect) to collate a list of “offensive” Arabic terms and then to review the existing Thesaurus for any word pairings that include those terms and to remove any potentially offensive word pairings. Some basic computational skills are required, but this aspect is well-supported by the project supervisors, so the main requirement is NS linguistics. Effort-wise, it will require 30-40 hours per week for approx. 3 weeks, starting as soon as possible.   Quaifications: - Native Arabic speaker - Bachelors Degree in Linguistics, or related  - Fomal Linguistics experience - Amenable to work remote for 30-40 hours weekly for 2 months, approximately 3 weeks starting asap About Appen   Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Our expertise includes having a global crowd of over one million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries, and the industry’s most advanced AI-assisted data annotation platform. Our reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. Founded in 1996, Appen has customers and offices globally.   At Appen, we value performance, honesty, humility, and grit. We persevere and remain focused, whilst maintaining agility to achieve quality outcomes and exceed expectations. We’re truth tellers – respectfully of course. We take accountability for our actions, and believe in giving and receiving direct feedback. We give credit where credit is due, and show gratitude to others for their contributions. We seek diverse perspectives as we recognize the value in teamwork and collaboration. Through grit, we take ownership, and we don’t give up.  
ID
2021-5222
City
Remote
Job Locations MT-Remote
Posted Date 1 year ago(11/24/2020 7:15 PM)
We are seeking Maltese QA Linguists for a project that is currently in progress and is expected to continue through at least January 2021   Qualifications:   This project involves imporving a Maltese-language speller and need someone to QA the development work as the team go.  - Native Maltese speaker - Bachelors Degree in Linguistics, or related  - Fomal Linguistics experience - Amenable to work remote for 5-10 hours weekly for 2 months  About Appen   Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Our expertise includes having a global crowd of over one million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries, and the industry’s most advanced AI-assisted data annotation platform. Our reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. Founded in 1996, Appen has customers and offices globally.   At Appen, we value performance, honesty, humility, and grit. We persevere and remain focused, whilst maintaining agility to achieve quality outcomes and exceed expectations. We’re truth tellers – respectfully of course. We take accountability for our actions, and believe in giving and receiving direct feedback. We give credit where credit is due, and show gratitude to others for their contributions. We seek diverse perspectives as we recognize the value in teamwork and collaboration. Through grit, we take ownership, and we don’t give up.  
ID
2020-5192
City
Remote
Job Locations NL-Remote
Posted Date 1 year ago(11/13/2020 7:24 PM)
We are seeking Dutch linguists for a project that is currently in progress and is expected to continue through at least March 2021, with a possibility of further work beyond that.   Qualifications:   This project involves developing a style and grammar checker for Dutch word-processing using our client’s software. We have Dev (development) and QA (quality assurance) positions available.   Requirements:   Native Dutch speakers with strong knowledge of Dutch morphology and syntax, and high proficiency in English.   Dev (Development)   Additionally requires strong computational skills, particularly familiarity with regexes (regular expressions), an aptitude for learning to use new software, and a commitment of 25-40 hours/week. The main tasks consist of corpora-based research, specification development, rule implementation using client software, and bug fixing.   QA (Quality Assurance)   Computational, and requires a commitment of approximately 15 hours per week. The main tasks consist of test set development, performance testing, and bug reporting.   About Appen   Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Our expertise includes having a global crowd of over one million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries, and the industry’s most advanced AI-assisted data annotation platform. Our reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. Founded in 1996, Appen has customers and offices globally.   At Appen, we value performance, honesty, humility, and grit. We persevere and remain focused, whilst maintaining agility to achieve quality outcomes and exceed expectations. We’re truth tellers – respectfully of course. We take accountability for our actions, and believe in giving and receiving direct feedback. We give credit where credit is due, and show gratitude to others for their contributions. We seek diverse perspectives as we recognize the value in teamwork and collaboration. Through grit, we take ownership, and we don’t give up.      
ID
2020-5183
City
Remote
Job Locations US-Remote
Posted Date 1 year ago(10/6/2020 5:24 PM)
Become a specialist on natural language understanding (NLU) and help build state-of-the-art AI systems!     Project Summary Your task is to work with Appen’s client to produce high quality natural language data and manage a team of annotators. You will help manage annotation workflows and manage all associated tasks as a member of a multi-language NLU team. Your inputs will be used to develop better natural language understanding systems for Italian.   This is an AI Specialist project. Our team’s mission is to deliver the best data solutions and expertise to developers of AI for communication, driven by our passion for innovation and our love of languages.     Responsibilities - Localize guidelines - Manage workflows - Receive, set up, distribute and deliver data sets - Set up FAQ and Q&A documents - Field annotator questions and monitor chats - Monitor and improve annotation quality - Report task related metrics - Work closely with the NLU team and project manager   Required Knowledge, Skills and Abilities - Bachelor’s degree in Linguistics, Computational Linguistics, Language Technologies, Computer Sciences, or related field - Interest in practical as well as theoretical linguistics, especially syntax, semantics, and pragmatics - Facility with computers and software applications. - Ability to adapt to changing requirements, priorities, and revisions - Cooperative, solution-oriented attitude - Eagerness to learn new skills and work quickly - Analytic mindset with strong attention to detail - Ability to review examples and apply rules to data - Native speaker of Italian, professional English skill level Qualifications and Experience - Advanced degree and/or industry experience - Experience working remotely - NLU annotation experience We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.   About Appen   Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Our expertise includes having a global crowd of over one million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries, and the industry’s most advanced AI-assisted data annotation platform. Our reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. Founded in 1996, Appen has customers and offices globally.   At Appen, we value performance, honesty, humility, and grit. We persevere and remain focused, whilst maintaining agility to achieve quality outcomes and exceed expectations. We’re truth tellers – respectfully of course. We take accountability for our actions, and believe in giving and receiving direct feedback. We give credit where credit is due, and show gratitude to others for their contributions. We seek diverse perspectives as we recognize the value in teamwork and collaboration. Through grit, we take ownership, and we don’t give up.    
ID
2020-5133
City
Remote
Job Locations US-Remote
Posted Date 1 year ago(9/29/2020 4:55 PM)
  Process language data to help build state of the art text-to speech AI models!     Project Summary   Appen is looking for a phonetician or linguist to help process language data for text-to-speech and speech recognition techonlogies.  The ideal candidate has experience with phonemic transciption and speech data evaluation and must be a native speaker of US English.   This is an AI Specialist project. Our team’s mission is to deliver the best data solutions and expertise to developers of AI for communication, driven by our passion for innovation and our love of languages.     Estimated Project Duration: 6 months, full-time     Responsibilities - Review and produce highly accurate word spelling and phonemic transcriptions - Develop and/or improve transcription guidelines - Evaluate speech data for dialectal variation - Handle data transfers between internal and external tools and curate audio, text, and spectrograms for text-to-speech recording sessions.   Required Knowledge, Skills and Abilities - A Degree in Linguistics, Speech Science or related field - Experience/interest in linguistics, especially phonology, phonetics, dialectology - Native speaker of US English - Experience/proficiency with transcription systems (such as SAMPA, IPA) - Praat and/or equivalent familiarity with spectrograms - Collaborative and solution oriented attitude - Ability to quickly learn new skills and adapt to a changing environment - Ability to focus on a single task for multiple hours - Strong attention to detail - Communicates clearly verbally and via email   Qualifications and Experience - Advanced degree and/or industry experience - Fluency in two or more natural languages - Location in the San Francisco Bay Area is a bonus     Application Process   Candidates will be screened for eligibility and asked to submit a linguistic screener. Successful candidates will be interviewed.   If this resonates with you, or if you feel like you would excel in the role, apply now!   We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.   About Appen Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Our expertise includes having a global crowd of over one million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries, and the industry’s most advanced AI-assisted data annotation platform. Our reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. Founded in 1996, Appen has customers and offices globally.   At Appen, we value performance, honesty, humility, and grit. We persevere and remain focused, whilst maintaining agility to achieve quality outcomes and exceed expectations. We’re truth tellers – respectfully of course. We take accountability for our actions, and believe in giving and receiving direct feedback. We give credit where credit is due, and show gratitude to others for their contributions. We seek diverse perspectives as we recognize the value in teamwork and collaboration. Through grit, we take ownership, and we don’t give up.    
ID
2020-5115
City
Remote
Job Locations US-CA-San Francisco
Posted Date 1 year ago(8/27/2020 12:58 AM)
Position Summary Become a specialist on natural language generation and help build state-of-the-art AI systems. Your inputs will be used to develop better natural language understanding systems for British English and Spanish-US.   Duration: 6 months fixed-term employee, part-time Payment: This is a salaried position, compensation to be determined based on skills and past experience.   Successful candidates must be able to work at client sites in the San Francisco Bay Area once COVID-19 restrictions are lifted. We are looking for native speakers of the languages listed below: - English (United Kingdom)  - Spanish (United States)   Responsibilities - Work with Appen's client to produce high quality natural language and mark it up with annotations that provide information about the semantics/meaning of natural language text - Use categories such as domains, intents, and slots to mark words and phrases in text utterances - Manage and track changes in the scenario database - Review and update annotation guidelines and guard data quality Required Knowledge, Skills and Abilities - Bachelor’s degree in Linguistics, Computational Linguistics, Language Technologies, Computer Sciences, or related field - Interest in practical as well as theoretical linguistics, especially syntax, semantics, and pragmatics - Facility with computers and software applications. - Familiarity with basic Python, SQL and script writing - Ability to adapt to changing requirements, priorities, and revisions - Cooperative, solution-oriented attitude - Eagerness to learn new skills and work quickly - Analytic mindset with strong attention to detail - Ability to review examples and apply rules to data - Native-level proficiency in the target language  Qualifications and Experience - Advanced degree and/or industry experience - Experience working remotely - NLG annotation experience If this resonates with you, or if you feel like you would excel in the role, apply now!   We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.   About Appen   Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Our expertise includes having a global crowd of over one million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries, and the industry’s most advanced AI-assisted data annotation platform. Our reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. Founded in 1996, Appen has customers and offices globally.   At Appen, we value performance, honesty, humility, and grit. We persevere and remain focused, whilst maintaining agility to achieve quality outcomes and exceed expectations. We’re truth tellers – respectfully of course. We take accountability for our actions, and believe in giving and receiving direct feedback. We give credit where credit is due, and show gratitude to others for their contributions. We seek diverse perspectives as we recognize the value in teamwork and collaboration. Through grit, we take ownership, and we don’t give up.    
ID
2020-5096
City
San Francisco
Job Locations US-CA-San Francisco
Posted Date 1 year ago(8/27/2020 12:58 AM)
Position Summary Become a specialist on natural language generation and help build state-of-the-art AI systems. Your inputs will be used to develop better natural language understanding systems for Spanish-US.   Duration: 6 months fixed-term employee, part-time Payment: This is a salaried position, compensation to be determined based on skills and past experience.   Successful candidates must be able to work at client sites in the San Francisco Bay Area once COVID-19 restrictions are lifted.   Responsibilities - Work with Appen's client to produce high quality natural language and mark it up with annotations that provide information about the semantics/meaning of natural language text - Use categories such as domains, intents, and slots to mark words and phrases in text utterances - Manage and track changes in the scenario database - Review and update annotation guidelines and guard data quality Required Knowledge, Skills and Abilities - Bachelor’s degree in Linguistics, Computational Linguistics, Language Technologies, Computer Sciences, or related field - Interest in practical as well as theoretical linguistics, especially syntax, semantics, and pragmatics - Facility with computers and software applications. - Familiarity with basic Python, SQL and script writing - Ability to adapt to changing requirements, priorities, and revisions - Cooperative, solution-oriented attitude - Eagerness to learn new skills and work quickly - Analytic mindset with strong attention to detail - Ability to review examples and apply rules to data - Native speaker of Spanish-US  Qualifications and Experience - Advanced degree and/or industry experience - Experience working remotely - NLG annotation experience If this resonates with you, or if you feel like you would excel in the role, apply now!   We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.   About Appen   Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Our expertise includes having a global crowd of over one million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries, and the industry’s most advanced AI-assisted data annotation platform. Our reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. Founded in 1996, Appen has customers and offices globally.   At Appen, we value performance, honesty, humility, and grit. We persevere and remain focused, whilst maintaining agility to achieve quality outcomes and exceed expectations. We’re truth tellers – respectfully of course. We take accountability for our actions, and believe in giving and receiving direct feedback. We give credit where credit is due, and show gratitude to others for their contributions. We seek diverse perspectives as we recognize the value in teamwork and collaboration. Through grit, we take ownership, and we don’t give up.    
ID
2020-5095
City
San Francisco
Job Locations US-CA-San Francisco
Posted Date 1 year ago(8/26/2020 12:26 PM)
Position Summary   Become a specialist on natural language generation and help build state-of-the-art AI systems. Your inputs will be used to develop better natural language understanding systems for British English.   Duration: 6 months fixed-term employee, part-time Payment: This is a salaried position, compensation to be determined based on skills and past experience.   Successful candidates must be able to work at client sites in the San Francisco Bay Area once COVID-19 restrictions are lifted.   Responsibilities - Work with Appen's client to produce high quality natural language and mark it up with annotations that provide information about the semantics/meaning of natural language text - Use categories such as domains, intents, and slots to mark words and phrases in text utterances - Manage and track changes in the scenario database - Review and update annotation guidelines and guard data quality Required Knowledge, Skills and Abilities - Bachelor’s degree in Linguistics, Computational Linguistics, Language Technologies, Computer Sciences, or related field - Interest in practical as well as theoretical linguistics, especially syntax, semantics, and pragmatics - Facility with computers and software applications. - Familiarity with basic Python, SQL and script writing - Ability to adapt to changing requirements, priorities, and revisions - Cooperative, solution-oriented attitude - Eagerness to learn new skills and work quickly - Analytic mindset with strong attention to detail - Ability to review examples and apply rules to data - Native speaker of British English  Qualifications and Experience - Advanced degree and/or industry experience - Experience working remotely - NLG annotation experience If this resonates with you, or if you feel like you would excel in the role, apply now!   We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.   About Appen   Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Our expertise includes having a global crowd of over one million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries, and the industry’s most advanced AI-assisted data annotation platform. Our reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. Founded in 1996, Appen has customers and offices globally.   At Appen, we value performance, honesty, humility, and grit. We persevere and remain focused, whilst maintaining agility to achieve quality outcomes and exceed expectations. We’re truth tellers – respectfully of course. We take accountability for our actions, and believe in giving and receiving direct feedback. We give credit where credit is due, and show gratitude to others for their contributions. We seek diverse perspectives as we recognize the value in teamwork and collaboration. Through grit, we take ownership, and we don’t give up.    
ID
2020-5094
City
San Francisco