Computational Linguist -Indonesian

Job Responsibilities:

• 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 many 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 be native speaker of a non-English language (preferably Indonesian) with a high level of proficiency in another Austronesian language, plus broad knowledge of other languages in the same family.
• 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 Good to Have Skills:
• Experience with creating and/or maintaining specialized lexical resources (e.g., profanity dictionaries) a plus
• Soft Skills: Ability to independently work through ambiguous requests, based on priorities established by CWAM, and perform under pressure. Able to work cross functionally.

Education/Experience:

• 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.