Generalist – Labeling and Preference Ranking

Employment Type: Internship

Start Date: As soon as possible, Rolling

Department: Data & Analytics

We’re seeking detail-oriented generalists—ideally with prior experience in data labeling or content evaluation—to assess and rank model outputs across a variety of domains. This opportunity is well-suited for professionals comfortable with nuanced judgment tasks and working independently in a remote setup.

Responsibilities:

• Evaluate and compare AI-generated responses based on quality, coherence, and helpfulness.
• Assign preference rankings to pairs or sets of model outputs.
• Follow detailed labeling guidelines and adjust based on evolving criteria.
• Provide brief written explanations for ranking decisions when required.
• Flag edge cases or inconsistencies in task design or model output.

Ideal Qualification:

• Prior experience in data labeling, content moderation, or preference ranking tasks.
• Excellent critical thinking and reading comprehension skills.
• Comfort working with evolving guidelines and ambiguity.
• Strong attention to detail and consistency across repetitive tasks.
• Availability for regular part-time work on a weekly basis.
• A degree in Business, Accounting, Finance, Financial, Marketing, Economics, Actuarial, Management Information Systems, Risk Management, Accountancy, Industrial Engineering, ⁠Management, Applied Mathematics, Mathematics, Mathematical Statistics, Mathematics and Statistics, ⁠Quantitative Science or related field.
• Must be authorized to work in the US.

Compensation:

The compensation for this role is $25 - $35 per hour.

Who We Are:

We are an internationally recognized HR consultancy firm helping candidates match with the potential roles by using an Artificial Intelligence System which is free of cost. We are a global market leader who works with several top-tier companies, tech startups, freelancers, industry professionals, and subject matter experts for projects, internships, and jobs.