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.
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
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
- 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
Skills Required
- 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 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
- Candidates must be physically located in United States, Canada, Puerto Rico, Mexico, Great Britain, Australia, New Zealand, or Argentina
- 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
What We Do
Lifted, an Upwork Company, is a B2B SaaS platform that helps enterprise organizations source, contract, manage, and pay contingent talent globally and compliantly. It supports multiple engagement models, including independent contractors, staff augmentation, and employer-of-record, while integrating with MSPs and VMSs to provide centralized visibility, spend control, and audit-ready compliance, delivering a white-labeled talent experience for hiring managers and contingent workforce programs.
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