Subject Matter Expert

1 day ago

India Turing Full time

About Turing:


Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L


Role Overview

We are seeking accomplished Social Studies graduates to design and evaluate complex tasks that test AI reasoning across sociology, political science, anthropology, and history.


What does day-to-day look like:

  • Develop evaluation questions across social studies subfields.
  • Create structured prompts and datasets with clear, verifiable answers
  • Evaluate AI performance for analytical depth and cultural accuracy.
  • Document gaps, failures, and provide expert-level corrections.

Requirements

  • Recent graduate in Social Sciences (Political Science, Sociology, Anthropology, History, or related).
  • Excellent english writing and analytical skills

Preferred Qualifications

  • Research or teaching assistant experience.
  • Familiarity with AI evaluation or data annotation is a plus.

Perks of Freelancing With Turing:

  • Competitive compensation based on experience and expertise.
  • Flexible working hours and remote work environment.
  • Opportunity to work on cutting-edge AI projects with leading LLM companies.
  • Potential for contract extension based on performance and project needs.

Offer Details:

  • Contract Duration : 1 month
  • Maximum of 30 hours/week is allowed
  • This contract assignment may require some overlap with UTC-8:00 (2-5 hrs/day) America/Los_Angeles. To be confirmed closer to the onboarding date.

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