• Lead a team of data scientists working on high-impact marketplace problems across areas such as growth, discovery, incentives, ads, ranking, and ecosystem health • Build and operationalize strong measurement foundations, including KPI frameworks, dashboards, diagnostics, and recurring business review rhythms • Raise the bar for experimentation quality through better test design, guardrails, observability, and interpretation • Partner closely with Product, Engineering, Marketing, Finance, Trust & Safety, and other cross-functional teams on complex marketplace and growth problems • Drive analytical strategy for major product and business investments, helping teams understand performance, profitability, and tradeoffs • Support work on discovery, personalization, matching, and monetization across evolving parts of the marketplace • Improve how teams use data by building scalable frameworks, self-serve analytics, and high-quality analytical assets • Help your team adopt modern tooling, including AI-enabled workflows, to improve speed, leverage, and decision-making • Manage, coach, and develop high-performing data scientists while hiring thoughtfully as the business grows

• leading the development of data science aspects in the product, working as part of the multidisciplinary research team. • You will be responsible for the development and maintenance of models and agents. • Adding innovation and advanced models, and developing DS tools to provide insights and analysis of web security attacks. • Leading and collaborating on end-to-end projects across the team and with engineering and product partners, from initial concept through to final deployment • Developing working prototypes of statistical/machine learning-based algorithms, evaluating and comparing metrics based on real-world data sets • Developing agentic systems to enhance detections and research paths • Guiding engineering implementations of autonomous security agents • Working closely with security researchers to combine subject matter expertise into the models • Working to integrate security research learnings into the product • Innovating in the web security research and data science space • Providing DS expertise to the wider Akamai web security research group

Role Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Agriculture Expert Type: Contract Compensation: $72–$80/hour Location: Remote Commitment: 20 hours/week Role Responsibilities - Author and review technical tasks to evaluate AI model performance on agricultural sciences problems. - Produce original problem sets grounded in crop figures, soil profiles, yield charts, and field imagery. - Write reference solutions and apply structured quality checks to ensure accuracy. - Collaborate with AI research teams to improve training data quality and performance. - Work independently and asynchronously with a flexible schedule. Qualifications - Must-Have: PhD in Agricultural Sciences or related field, or MS with 3+ years applied research, extension, or industry experience, or BS with 5+ years applied farming, extension, or agribusiness experience. - Working fluency in at least two of: agronomy, soil science, animal science, agricultural economics, plant pathology. - Comfortable reading and interpreting crop figures, soil profiles, yield charts, and field imagery. - Clear technical writing; able to articulate reasoning step-by-step in written form. Requirements - Hourly contractor - Paid weekly Application Process - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: Interview Process - For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Role Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Computer Science Expert Type: Contract Compensation: $75–$83/hour Location: Remote Commitment: 20 hours/week Role Responsibilities - Author and review technical tasks to evaluate AI model performance on computer science problems. - Produce original problem sets using architecture diagrams, data structure visualizations, and algorithm traces. - Write reference solutions and apply structured quality checks to ensure accuracy. - Collaborate with AI research teams to enhance task quality and throughput. - Work independently and asynchronously with a flexible schedule to meet deadlines. Qualifications - Must-Have PhD in Computer Science, or MS in CS with 3+ years engineering, research, or teaching experience, or BS in CS with 5+ years software engineering, systems, or applied CS practice. - Working fluency in at least two of: algorithms, systems, databases, networks, theory of computation. - Comfortable with architecture diagrams, data structure visualizations, and algorithm traces. - Clear technical writing; able to articulate reasoning step-by-step in written form. Requirements - Hourly contractor. Application Process - Upload resume. - AI interview based on your resume. - Submit form. Resources & Support - For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome - For any help or support, reach out to: support@mercor.com - Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.