Domain Contributor - Evaluation Specialist
micro1Legit · not rated yetPosted 5 days ago
Pay: $30–60/hr
- Who can apply
- Countries not stated in the listing
- Hours
- 15 hrs/week · Freelance
- Where
- Remote, work from home
- Job type
- Response evaluation
- Openings
- 20 openings
At a glance: A freelance, remote response evaluation job with micro1. It pays $30–60/hr for 15 hours a week. The listing doesn't say which countries can apply.
Countries not stated
The posting doesn't say which countries can apply, so check before you apply. What micro1 says in general: Recruits worldwide apart from residents of 21 countries and regions, among them China, Russia, Ukraine, Iran, Venezuela and Ethiopia; some listings accept applicants from the US, UK or Canada only
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What happens after you click Apply
- You leave AI Trainer HQ and go to micro1’s own site.
- Pick a role, apply and answer the screening questions attached to it
- Sit the AI interview with Zara, spoken and recorded, about 20–40 minutes
- Complete a technical assessment if the role has one, then a hiring-manager review
- Take the offer, sign your Deel contract and clear the KYC identity check
How this pay compares
This job pays more than 27% of the 204 other science (PhD) jobs on the board that state pay; 71% pay more.
- This job
- $45/hrMiddle of $30–60/hr
- Median on micro1
- $65/hrFrom 287 other paid jobs
- Median in science (PhD)
- $65/hrFrom 204 other paid jobs
Requirements
- Qualifications
- Domain depth
- Source verification
- Reasoning clarity
- Evaluation expertise
- Languages
- English
- Equipment
- Computer with a reliable internet connection
About this job
Role Title: Domain Contributor - Evaluation Specialist
Role Type: Contractor (~15 hrs/week)
Location: Remote
micro1 is engaging Domain Contributor - Evaluation Specialists to support an internal project evaluating and improving advanced AI models. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. Flexible, pay-per-task work across history, law, finance, journalism, and tech, for experts with prior AI training experience.
Scope of Work
• Design nuanced, domain-specific tasks that probe AI model limits and surface reasoning flaws.
• Author questions and scenarios demanding deep subject knowledge, beyond general understanding.
• Assess AI-generated outputs, validating accuracy against authoritative, primary sources in your area of expertise.
• Document clear rationales for model shortcomings, specifying missed reasoning, source errors, or nuances.
• Apply detailed task guidelines and evaluation rubrics consistently to each submission.
• Submit completed deliverables independently on a rolling basis, meeting project requirements for written and verbal clarity.
Preferred Qualifications
• Proven hands-on experience with AI model training, annotation, RLHF, or evaluation.
• Deep expertise in a core domain: history, archival or library science, law (paralegal, legal academic, compliance), finance (equity research, PE/VC, forensic accounting), journalism, or technology/industry history.
• Advanced research skills with a track record of verifying complex claims against authoritative sources.
• Exceptional written and verbal communication skills to articulate findings and feedback.
• Demonstrated ability to precisely follow detailed instructions and evaluation frameworks.
• Background in adversarial or “stomp the model” task design is advantageous.
• Graduate-level research, experience at a Fortune 100 company, or professional fluency in a non-English language a plus.
Compensation Structure
Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.
Start Timeline & Availability
We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.
Listing history
- First seen on our board
- (4 days ago)
- Posted by micro1
- (5 days ago)
- Last checked
- Source
- micro1
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