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Turing

BA – Generalist (English + Creative data annotation) – II

English remote
Not stated on the listing
Verified 2026-10-28
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About the role

The Text Situated Alignment Generalist – BA role supports a short-term human-AI interaction evaluation pilot designed to assess whether providing social context before a user’s request helps a language model generate more relevant, personalized, and user-aligned advice. Contributors create realistic, ongoing social scenarios, interact with the model under different conditions, and evaluate the quality of its responses. Main tasks listed: Create realistic and ongoing social scenarios involving personal, professional, or interpersonal context; Interact with the language model under assigned evaluation conditions; Evaluate model responses for relevance, usefulness, personalization, clarity, and alignment with the provided context; Explain the reasoning behind each rating through clear and detailed written feedback.

Experience

Demonstrate strong written English proficiency and clear communication skills; Apply creative and analytical thinking when developing realistic social scenarios; Possess an educational or professional background in Business Analysis, English, Literature, Journalism, Creative Writing, Scriptwriting, Content Writing, Film and Video Captioning, or a related field; Understand nuanced interpersonal situations and evaluate AI-generated responses objectively; Have three or more years of experience in data annotation, human-AI interaction, content evaluation, or similar analytical projects; this experience is preferred but not mandatory

Selection process

Apply through the official Turing page (free account required). The listing does not describe further selection steps.

Eligibility

Not stated on the listing (remote)

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