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mercor

Symbolic AI Specialist - Fully Remote | Upto $80/hr

Remote — United States (see country and timezone requirements)

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Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Automated CS Planning PhDs & Domain Experts — Zion (Arches)

Type:Contract

Compensation:$55–$80/hour

Location:Remote

Role Responsibilities

Develop high-quality data for state-of-the-art large language models by creating complex problems in your domain.

Evaluate and improve AI model performance through rigorous problem-solving and data analysis.

Collaborate with AI research teams to enhance the quality and applicability of training data.

Work independently and asynchronously to meet project deadlines and goals.

Provide expert insights into automated planning and symbolic AI to inform future AI innovations.

Qualifications

Must-Have

PhD or advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or Operations Research.

Focus on automated planning / symbolic AI.

High attention to detail.

Exceptional written and verbal communication skills.

Interview Process

Complete a short interview and task (20–30 mins).

Paid for up to 1 hour of onboarding time including videos if hired.

Application Process (Takes 20–30 mins to complete)

Upload resume

AI interview based on your resume

Submit form

Resources & Support

For details about the interview process and platform information, please check:

For any help or support, reach out to:

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Originally posted on Himalayas

Who can apply

Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.

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