PhD Computer Science Expert for AI Training
Company Description
An enterprise client is seeking highly technical Computer Science Experts with PhDs to support the training and evaluation of advanced AI models. This initiative focuses on improving the accuracy, reasoning, and domain expertise of generative AI systems through expert human feedback.
The selected candidates will contribute to the company's large AI training project by evaluating AI-generated responses, developing domain-specific prompts, and assessing technical accuracy across complex Computer Science topics. This is a fully remote, freelance opportunity with flexible working hours and the potential for ongoing work beyond the initial project timeline.
Job Description
This opportunity is ideal for highly analytical professionals with advanced academic or industry experience in Computer Science or related technical fields.
What You'll Do:
Assess the factual accuracy, relevance, and quality of AI-generated Computer Science content
Craft and answer domain-specific questions related to Computer Science and adjacent technical disciplines
Evaluate and rank AI-generated responses based on technical correctness and reasoning quality
Provide expert-level feedback to improve AI model performance and domain understanding
Support AI training initiatives by applying research, analytical thinking, and technical expertise
This role is a strong fit for professionals with backgrounds in:
Computer Science
Software Engineering
Machine Learning
Cybersecurity
Distributed Systems
Computational Science
Information Theory
Quantitative Finance (highly preferred)
Statistics
Electrical & Computer Engineering
Technical Research or Academia
Qualifications
Requirements:
Native or fluent English communication skills (written and verbal)
PhD in Computer Science or a closely related technical field
Experience working as a software engineer, researcher, or in another highly technical or analytical role
Strong technical reasoning and attention to detail
Ability to assess complex AI-generated technical outputs with accuracy and consistency
Nice to Haves:
Strong academic or industry research background
Experience reviewing technical content, publications, or research outputs
Familiarity with AI systems, large language models, or AI evaluation workflows
Experience in advanced Computer Science domains such as machine learning, distributed systems, or cybersecurity
Additional Information
Fully remote freelance opportunity with flexible working hours
Work is expected to begin immediately and continue through the end of June, with potential extensions
Compensation: Up to $150 USD per hour based on project participation
Weekly lump-sum payments issued for completed work tracked within the client platform
No guaranteed hours or task volume; work availability may vary weekly
Candidates must be physically located in one of the following regions: United States, Canada, Puerto Rico, Mexico, Great Britain, Australia, New Zealand, or Argentina
Selected candidates will receive onboarding instructions and platform access after acceptance
Candidates should not independently create an Outlier profile prior to onboarding
An enterprise client is seeking highly technical Computer Science Experts with PhDs to support the training and evaluation of advanced AI models. This initiative focuses on improving the accuracy, reasoning, and domain expertise of generative AI systems through expert human feedback.
The selected candidates will contribute to the company's large AI training project by evaluating AI-generated responses, developing domain-specific prompts, and assessing technical accuracy across complex Computer Science topics. This is a fully remote, freelance opportunity with flexible working hours and the potential for ongoing work beyond the initial project timeline.
Job Description
This opportunity is ideal for highly analytical professionals with advanced academic or industry experience in Computer Science or related technical fields.
What You'll Do:
Assess the factual accuracy, relevance, and quality of AI-generated Computer Science content
Craft and answer domain-specific questions related to Computer Science and adjacent technical disciplines
Evaluate and rank AI-generated responses based on technical correctness and reasoning quality
Provide expert-level feedback to improve AI model performance and domain understanding
Support AI training initiatives by applying research, analytical thinking, and technical expertise
This role is a strong fit for professionals with backgrounds in:
Computer Science
Software Engineering
Machine Learning
Cybersecurity
Distributed Systems
Computational Science
Information Theory
Quantitative Finance (highly preferred)
Statistics
Electrical & Computer Engineering
Technical Research or Academia
Qualifications
Requirements:
Native or fluent English communication skills (written and verbal)
PhD in Computer Science or a closely related technical field
Experience working as a software engineer, researcher, or in another highly technical or analytical role
Strong technical reasoning and attention to detail
Ability to assess complex AI-generated technical outputs with accuracy and consistency
Nice to Haves:
Strong academic or industry research background
Experience reviewing technical content, publications, or research outputs
Familiarity with AI systems, large language models, or AI evaluation workflows
Experience in advanced Computer Science domains such as machine learning, distributed systems, or cybersecurity
Additional Information
Fully remote freelance opportunity with flexible working hours
Work is expected to begin immediately and continue through the end of June, with potential extensions
Compensation: Up to $150 USD per hour based on project participation
Weekly lump-sum payments issued for completed work tracked within the client platform
No guaranteed hours or task volume; work availability may vary weekly
Candidates must be physically located in one of the following regions: United States, Canada, Puerto Rico, Mexico, Great Britain, Australia, New Zealand, or Argentina
Selected candidates will receive onboarding instructions and platform access after acceptance
Candidates should not independently create an Outlier profile prior to onboarding