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Posted:2 weeks ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Part Time

Job Description

We’re seeking a sharp, detail-oriented Research & Data Evaluation Associate to support the quality review of research datasets, benchmarks, and task design. In this role, you’ll work closely with our team to analyze submissions across a wide range of technical domains, identifying ambiguity, inconsistencies, and opportunities for methodological improvement.

You’ll help enforce high standards for clarity, reproducibility, and data robustness — contributing directly to the infrastructure used to evaluate and align advanced AI systems.

Why Apply

  • Help define what “good” looks like in research benchmarks and data pipelines
  • Collaborate asynchronously in a flexible, remote-first setting
  • Gain exposure to state-of-the-art work in AI and model alignment
  • Work with a YC-backed company building next-gen evaluation and training infrastructure for AI labs

Responsibilities

  • Review research tasks, datasets, and benchmark contributions for quality and internal coherence
  • Assess clarity, formatting, and logical consistency across structured and unstructured content
  • Identify vague, contradictory, or misleading components and suggest precise edits
  • Analyze results and data artifacts to flag strengths, weaknesses, and edge cases
  • Propose new benchmark strategies or evaluation refinements to improve rigor

Required Qualifications

  • Comfortable working with research-level content across technical or data-heavy domains
  • Strong interest in systems evaluation, data quality, and reproducibility
  • Able to spot subtle inconsistencies and diagnose ambiguous or flawed instructions
  • Detail-obsessed, but capable of zooming out to evaluate high-level structure and purpose
  • Excellent written communication and clear, constructive feedback skills


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