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
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Manage enterprise customer accounts as a trusted technical advisor, driving platform adoption, measurable business value, and technical ROI. Develop success plans, troubleshoot complex hardware, software, and API issues, manage escalations, conduct root-cause analysis, and lead technical reviews. Collaborate with Sales, Support, Product, and Engineering while communicating effectively with technical and executive stakeholders. Use AI tools to improve customer insights and outcomes, and contribute to knowledge sharing and team development.
Top Skills:
AIAPIsGainsightGongInternet Of Things (Iot)JIRAPaasPythonSaaSSalesforceTableauZendesk
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Lead product strategy and delivery for Mastercard's In Control virtual card platform. Translate business requirements into technical specs, work with engineering scrum teams, engage regional partners and customers, define platform vision for tokenized and virtual card payments, validate technical delivery, and drive go-to-market and product enhancements to grow B2B and T&E payment adoption.
Top Skills:
AgilePayment ProcessingPme FrameworkScrumTokenizationUx/UiVirtual Card Platform
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Tests liquidity risk and regulatory reporting releases across PRA, EBA, HKMA, and US Federal Reserve requirements. Responsibilities include SQL-based data validation, test strategy and execution, defect management, UAT dashboards, requirements gathering, data-gap analysis, issue resolution, and stakeholder communication. The role also supports finance data quality initiatives, regulatory compliance, operating-model transitions, change implementation, and coordination across Finance, Risk, Business, and IT teams.
Top Skills:
ExcelMicrosoft PowerpointMicrosoft ProjectMicrosoft VisioMicrosoft WordQuality CentreSQL
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
