Our partner is looking for adaptable, detail-focused professionals to join their team in supporting a variety of innovative AI evaluation projects. As a Generalist, you’ll help develop and assess AI systems across multiple fields—contributing to the testing, refinement, and enhancement of how advanced models interpret and reason through real-world tasks.

1. Key Responsibilities

– Review AI-generated content for accuracy, clarity, and relevance to real-world logic.
– Provide written evaluations and structured feedback on model performance.
– Highlight conceptual, logical, and stylistic strengths and weaknesses in AI outputs.
– Work asynchronously with the partner’s research and operations teams to ensure consistent quality in evaluations.
– Apply strong analytical thinking, clear communication, and consistent evaluation standards.

2. Ideal Qualifications

– Excellent command of English and strong writing skills.
– Keen attention to detail with the ability to spot subtle mistakes or inconsistencies.
– Strong analytical and critical thinking across a variety of subjects.
– No specific degree required—curiosity, clarity, and reasoning ability are most important.

3. Timeline

– This posting is for joining a talent pool, not a specific project.
– Start Date: Ongoing (immediate openings available).
– Duration: Varies by project, typically 1–3 months.
– Commitment: Flexible, part-time (approx. 10–20 hours/week, with potential to grow).
– Schedule: Fully remote and asynchronous.

4. Compensation & Contract

– Paid roles across multiple projects, typically $30–$100 USD/hour depending on expertise and task complexity.
– Work is on an independent contractor basis.
– Payments made daily via Stripe Connect.

5. Application & Qualification Process

– Submit Application: Upload your resume or a professional summary.
– Qualifying Assessment: Complete a short, unpaid trial task introducing a core data type and task format.
– Ongoing Opportunities: High-performing candidates may be invited to participate in future paid projects involving AI evaluation, training, and research.