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Freelance Agent Evaluation Engineer
Mindrift • Remote • Posted 98 days ago
Education
Any
Type
hourly
Pay Rate
$80/task
Posted
98d ago
Role Overview
As a Freelance Agent Evaluation Engineer, you will solve complex coding challenges to create "Golden Data" for training advanced code-generation models. You will likely engage in "red-teaming" (adversarial testing) to find logic gaps in AI code, write unit tests for generated snippets, and provide expert-level refactoring. This is pure technical work—no meetings, just deep-dive problem solving in languages like Python and C++.
Requirements
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
- Bachelor's degree or equivalent professional experience
- Demonstrated expertise in Software Engineering
Compensation Analysis
Join the workforce powering the AI revolution. With a competitive rate of $80/hr and remote flexibility, this role allows you to balance professional growth with personal freedom. No previous AI experience is usually required—just your domain expertise.
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Frequently Asked Questions
Who is Mindrift for?
Mindrift (built by data-labeling giant Toloka) is best suited for freelance writers, editors, and generalist AI tutors. If you have strong English fluency, solid grammar, and good research skills — but no specialized tech degree — Mindrift is designed for you. Specialized domain experts (cybersecurity, medicine, law) can also access higher-paying projects once verified.
Why are the rates lower than other platforms?
General evaluation tasks pay around $15–$30/hr because they are high-volume, lower-complexity work (basic fact-checking, tone evaluation) that do not require an advanced degree. However, if you are a verified domain expert, rates on specialized projects scale up to $40–$100+/hr. Start generalist, build your profile, and unlock specialist tracks.
What does a typical task look like?
Most tasks follow this pattern: read a context or scenario → write a short prompt for the AI (~100 words) → evaluate two AI responses to that prompt → fact-check the outputs → write a brief explanation (~50 words) on which response is better, citing the project rubric. The focus is clarity, safety, and strict rule-following — not creative writing or length.
What does the work actually look like?
It is practical, hands-on data work. You might be recording short videos, categorizing images, rating text responses, or analyzing data. The tasks are designed to be short and distinct—typically 5-60 minutes per task.
How flexible is the schedule?
Extremely. This is true "log in and work" flexibility. You can usually work for 20 minutes or 4 hours depending on your availability. There are rarely minimum hour requirements, making it ideal for side income.
Is there an interview?
Usually, no. Hiring for these roles is almost entirely based on passing an automated assessment or "qualification" task. If you pass the test, you get access to the work.