Evaluate and author high-quality computer science content to improve AI model reasoning and accuracy. Analyze complex CS problems, create scenarios/datasets, review AI outputs for correctness, and collaborate remotely to refine guidelines and documentation.
This role is for one of our clients
$20 - $40/hourpay
Role Title: Computer Science Subject Matter Expert (AI Training)
Role Type: Contractor
Location: Remote
We are seeking a Computer Science Subject Matter Expert to contribute to the development of next-generation AI systems by applying deep technical expertise to real-world computer science challenges. In this role, you will analyze, evaluate, and create high-quality technical content that enhances the reasoning, accuracy, and performance of AI models. Prior experience in Artificial Intelligence is not required—your expertise in Computer Science is the primary qualification.
RequirementsKey ResponsibilitiesTechnical Analysis & Problem Solving
- Analyze and evaluate complex computer science problems, solutions, and methodologies across various domains.
- Assess technical approaches and recommend well-structured, scalable, and efficient solutions based on industry best practices.
- Ensure technical accuracy, logical consistency, and clarity in all deliverables.
- Author, review, and refine technical documentation, including system design documents, research papers, technical specifications, and architecture write-ups.
- Develop real-world computer science scenarios, datasets, and case studies to support AI model training and evaluation.
- Create structured technical explanations that improve AI understanding and reasoning.
- Review AI-generated responses for technical correctness, completeness, and adherence to computer science principles.
- Identify inaccuracies, inconsistencies, and opportunities for improvement while providing constructive feedback.
- Support the evaluation and continuous enhancement of AI-driven tools through domain expertise.
- Work closely with project coordinators and subject matter experts to refine task guidelines and improve data quality.
- Provide clear written and verbal feedback to enhance AI model relevance, robustness, and performance.
- Collaborate in a remote environment while maintaining high-quality deliverables and documentation.
- Bachelor's, Master's, or PhD in Computer Science or a related field.
- Strong understanding of core computer science concepts, including algorithms, data structures, operating systems, databases, networking, and software engineering.
- Experience writing technical documentation, research papers, system design documents, or technical reports.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills with the ability to explain complex technical concepts clearly.
- Ability to work independently and deliver high-quality work in a remote environment.
- Expertise in one or more specialized domains such as:
- Algorithms & Data Structures
- Distributed Systems
- Computer Networks
- Databases
- Artificial Intelligence & Machine Learning
- Cloud Computing
- Cybersecurity
- Experience participating in technical reviews, research projects, or open-source contributions.
- Proven ability to simplify complex technical concepts for both technical and non-technical audiences.
- Familiarity with current trends and emerging technologies in computer science.
- Computer Science
- Algorithms & Data Structures
- System Design
- Technical Documentation
- Problem Solving
- Distributed Systems
- Databases
- Networking
- Artificial Intelligence
- Research & Publications
- Open Source Contributions
- Software Engineering
- Technical Reviews
Similar Jobs
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Own the technical evolution and architecture of Jira Data Management, leading enterprise-scale data movement, governance, resilience, and data health initiatives. Define long-term platform roadmaps, lead major architectural programs, and improve reliability, performance, observability, security, and operational excellence. Provide hands-on technical leadership through design reviews, investigations, incident reviews, and complex problem solving while mentoring senior and principal engineers.
Top Skills:
AWSGCPGoJavaJavaScriptJIRAPython
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Lead full-cycle recruiting for senior technical and GTM roles in India, partner with senior leaders to design data-driven sourcing strategies, adopt AI-powered tools, manage hiring metrics, negotiate offers, and support regional APAC initiatives.
Top Skills:
Advanced Automation ToolsAi-Driven Sourcing PlatformsAi-Powered ToolsAWSDynatraceDynatrace IntelligenceGenerative AiGCPMicrosoft
.png){kind=logo}
Artificial Intelligence • Edtech • Mobile • Natural Language Processing • Productivity • Software
Leads global paid media strategy, budgeting, campaign execution, audience targeting, attribution, incrementality testing, and marketing mix modeling. Manages agency and platform relationships, affiliate programs, performance reporting, experimentation, and emerging ad formats. Builds and mentors a remote team while partnering with Data, Engineering, Product, Finance, and Legal to optimize CAC, ROAS, LTV, and profitability.
Top Skills:
A/B TestingApple Search AdsAttributionDv360Ga4Google AdsIncrementality TestingLookerMarketing Mix ModelingMeta AdsPmaxTiktok Ads ManagerUac
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
