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Title: Linguist III

Location: California State

Contract: 12+ Months Contract Role
Work Setup: 100% Remote
Client: META (Facebook)

Required Skills to get an Offer:

• Perform linguistic error analysis of machine translations and identifying the most frequent and severe error categories
• Strong skills in pattern recognition, cross-functional communication, and multitasking
• Experience with Python

• Experience with creating and/or maintaining specialized lexical resources (e.g., profanity dictionaries) a plus
• Ability to independently work through ambiguous requests, based on priorities established by CWAM, and perform under pressure. Able to work cross functionally.

Position Summary

The Linguist III (FAIR) will provide advanced linguistic expertise to support AI and multilingual language research initiatives. The role focuses on analyzing large linguistic datasets and AI model outputs, performing machine translation error analysis, developing and revising linguistic evaluation and annotation guidelines, and conducting typological and sociolinguistic research across languages. The Linguist will collaborate with engineers, research scientists, data scientists, vendors, and native speakers; conduct NLP and AI literature reviews; support Responsible AI initiatives; and communicate linguistic findings and actionable recommendations to cross-functional teams

Job Description:

• 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.

Skills

• Must have strong written and spoken communication skills, especially business and research communication.
• Must have near native or native bilingual proficiency in a language other than English, more specifically a language of the following families or groups: Dravidian or Indo-Aryan.
• Working knowledge in other languages is a plus. Proficiency in a low-resource language is valued.
• 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).