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Job description
Job Title: Linguist III
Duration: 02 Months
Location: Remote role. West coast preferred. CWs cannot be located in TX or Illinois as those 2 states have passed laws that are incompatible with our data collection agreements.
Note: Please make sure the resume is CLEAR on which language the candidate is being submitted with and the CEFRL level.
Purpose of this team: Provide linguistic expertise related to AI-powered applications and research
Job Description: 0-3 years of experience.
Must have a PhD in Linguistics IN HAND. Not just working to get one.
A graduate degree in Literature or English is not an appropriate substitution.
A degree in Computer Science with a specialization in NLP is not an appropriate substitution.
A degree in Computational Linguistics is not the same as theoretical Linguistics and is not an appropriate substitution.
Must have near-native or native bilingual proficiency in a language from the following families or groups, as well as near-native or native proficiency in English:
Central Philippine (esp. Filipino, Tagalog, Cebuano)
Tai-Kadai (esp. Thai, Lao)
Bantu (esp. Swahili)
Northwestern Semitic (esp. Hebrew), Ethiosemitic
Please make sure the resume is CLEAR on which language the candidate is being submitted with and the CEFRL level.
Top 3 must-have HARD skills: Solid grasp of General Linguistics theory at the research level
Cross-functional communication and project management
Experience with Python
Must have near-native or native bilingual proficiency in a language from the following families or groups, as well as near-native or native proficiency in English: Central Philippine (esp. Filipino, Tagalog, Cebuano)
Tai-Kadai (esp. Thai, Lao)
Bantu (esp. Swahili)
Northwestern Semitic (esp. Hebrew), Ethiosemitic
Must have: Must have strong written and spoken communication skills, especially business and research communication.
Near-native or native proficiency in a language other than English, more specifically a language of the following families or groups: Central Philippine (esp. Filipino, Tagalog, Cebuano)
Tai-Kadai (esp. Thai, Lao)
Bantu (esp. Swahili)
Northwestern Semitic (esp. Hebrew), Ethiosemitic
Near-native or native proficiency in English.
Proficiency in a low-resource language is valued.
Working knowledge in other languages is a plus.
Must be able to code in Python (must) and query databases using SQL, other coding languages used for data analysis are a plus.
Must be able to independently work through complex requests and perform under pressure.
Strong ability to work independently, prioritize, plan, and track work, as well as report progress
education or training in the basics of project management is a plus
self-motivation is a must
Working knowledge of international language-classification standards is valued.
Education: Graduate degree in Linguistics or related field is a must; PhD is a plus
a background or specialization in corpus linguistics is a plus
experience with field work is a plus
a graduate degree in Literature or English is not an appropriate substitution
degree in Computer Science with a specialization in NLP is not an appropriate substitution
Must have a very firm grasp of the following linguistic fields: language typology, syntax, morphology, sociolinguistics (especially dialectology and discourse analysis), corpus linguistics, writing systems, pragmatics, phonology.
Must have some experience with applying basic Natural Language Processing techniques.
Experience Years of experience: 0-3
Experience working cross-functionally
Experience collaborating with machine learning, NLP, or software engineers, or data scientists
Experience contributing to research papers
Important: Preferably no known conflicts of interest in the fields of machine translation, ASR, TTS, or LLM research (as FAIR Linguists need to be contributing to research papers)
Good to have skills: Experience with creating and/or maintaining specialized lexical resources (e.g., profanity dictionaries) is a plus
Ability to independently work through ambiguous requests, based on priorities established by CWAM, and perform under pressure. Able to work cross functionally.
Main duties: Perform linguistic analyses on large datasets.
Perform linguistic error analysis of AI model outputs, determining what the most frequent and severe error categories are.
Write and revise guidelines for human annotation and other AI projects, including but not limited to translation tasks.
Conduct typological and sociolinguistic research on a large number of languages, highlighting their similarities and differences.
Perform linguistic analyses for Responsible AI (toxic language, hate speech, gender bias and other cultural biases) in massively multilingual settings.
Conduct linguistic literature reviews on various NLP-adjacent topics, and summarize findings.
Compare the quality of deliveries between vendors, identify error patterns, and provide actionable feedback.
Provide information or guidance relative to any aspect of linguistic knowledge (typology, morpho-syntax, sociolinguistics, classification, phonetics/phonology, pragmatics, etc.).
Reach out to and collaborate with native speakers in various languages.
Communicate results of linguistic analyses to engineers and research scientists.
Interview Process: A one-hour technical interview including linguistics questions and a Python coding exercise
(If technical interview is solid) A 30-to-45 minute behavioural interview to confirm that candidate will be a good fit in the company context
Who can apply
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