Computer Science Research Expert | Remote

Crossing Hurdles; India; Remote; INR 240,198 - 287,710; Part time

Job summary

Crossing Hurdles is hiring Computer Science Domain Experts on a short-term contract basis, allowing remote work. The role involves designing advanced problems to evaluate AI's reasoning capabilities.

Ideal candidates should have a Ph.D. or be pursuing one in Computer Science, and possess strong analytical and communication skills. Compensation is $250 per task with up to 40 hours of commitment per week.

Qualifications

• Strong expertise in computer science reasoning and problem-solving.
• Ability to design challenging conceptual problems.
• Excellent written communication and attention to detail.

Responsibilities

• Design advanced computer science problems for AI evaluation.
• Develop clear reference solutions with rigorous logic.
• Evaluate AI-generated responses for correctness and clarity.
• Provide structured feedback to improve problem quality.

Skills

Computer Science expertise

Analytical skills

Critical thinking

Problem-solving skills

Written communication

Education

Ph.D. or pursuing a Ph.D. in Computer Science

Job description

Position: Computer Science - Domain Experts (Pay Per Task)

Type: Short-term Contract

Compensation: $250 per task upon approval

Location: Remote

Commitment: Up to 40 hours/week with 4 hours overlap with PST

Duration: 3 Months

Start Date: Immediate

Role Responsibilities

• Design advanced computer science problems that test AI model performance across conceptual and reasoning-heavy topics, including systems design, algorithms, cybersecurity, and other advanced CS areas
• Develop clear, step-by-step reference solutions with rigorous logic, well-structured explanations, and defensible reasoning
• Evaluate AI-generated responses for correctness, reasoning quality, completeness, clarity, and alignment with the intended problem requirements
• Identify flaws, gaps, edge cases, and near-miss reasoning patterns in AI outputs
• Collaborate with researchers to refine benchmarks across undergraduate, graduate, and PhD-level computer science topics
• Provide structured feedback to improve problem quality, benchmark reliability, and model evaluation standards
• Apply computer science concepts creatively to challenging reasoning and problem-solving tasks

Requirements

• Candidates with a Ph.D., completed or currently pursuing, in Computer Science or closely related fields are encouraged to apply
• Strong expertise in advanced computer science reasoning and problem-solving across domains such as:
• Algorithms, Systems Design, Cybersecurity, Databases, Networks, Theory of Computation, Operating Systems, and related CS fields
• Ability to design challenging conceptual problems that require deep understanding rather than straightforward recall or coding
• Strong analytical, critical thinking, and problem-solving skills
• Excellent written communication skills, with the ability to explain complex technical ideas clearly and logically
• Strong attention to detail in evaluating reasoning, assumptions, definitions, edge cases, and solution validity
• Ability to provide structured, high-quality feedback on AI-generated responses
• No prior AI experience required
• Python and Data Analysis knowledge is desirable but not mandatory
• LinkedIn profile must be mentioned in the resume
• Candidates will go through a background check after onboarding. Before verification they will not receive any work

Application Process

• Apply/Easy Apply and check email for Interest Check Form