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

We are looking for a detail-oriented Business Analyst to support evaluation and annotation workflows focused on quality, accuracy, and structured reasoning. This role is ideal for someone who is comfortable working with digital tools, performing side-by-side evaluations, and providing clear, well-supported justifications based on fact-checking.

• Perform side-by-side (SxS) evaluations on GHD, comparing outputs and assessing quality, accuracy, and relevance.
• Conduct fact-checking to validate information and identify inconsistencies or inaccuracies.
• Provide detailed, well-structured justifications to support evaluation decisions.
• Follow established evaluation guidelines and quality standards consistently.
• Execute simple command-line instructions when required to support evaluation workflows.
• Document findings clearly and communicate insights to stakeholders when needed.

• Solid comfort using a computer in a professional setting.
• Ability to run basic command-line commands (no advanced programming required).
• Strong analytical and critical thinking skills.
• High attention to detail and ability to justify decisions clearly and objectively.
• Comfortable working with evaluation frameworks, comparisons, and structured analysis.
• Good written communication skills in English.

• Previous experience with evaluation, annotation, QA, or audit-type work.
• Familiarity with data quality, content evaluation, or model/output assessments.
• Background in business analysis, operations, or process improvement.

• Competitive compensation based on experience and expertise.
• Flexible working hours and a fully remote environment.
• Opportunity to contribute to impactful research initiatives.
• Potential for contract extension based on performance and project needs.
• Commitment Required: 30 hours per week minimum.
• Engagement Type: Contractor/Freelancer (no medical or paid leave).
• Time Overlap: Some overlap with UTC-8:00 (2-5 hrs/day) America/Los_Angeles.

• Shortlisted candidates will be invited to complete an analytical challenge.
• Once the assessment is cleared, you're ready to start contributing!

After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.

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