• Lead quality assurance (QA) of datasets prepared by the Data Officer and Data Associate to ensure accuracy, consistency, and completeness. • Standardize data structures, collection formats, and documentation across projects. • Maintain data processing SOPs and coordinate harmonization of project databases (farmer data, farm plots, training records, monitoring indicators). • Analyze agricultural and project datasets to generate insights on smallholder participation, farm characteristics, production, traceability, and program performance. • Produce dashboards, visualizations, and analytical summaries to support project teams. • Prepare and review data inputs for project and donor reporting (e.g., monthly and quarterly reports, monitoring indicators). • Review and develop AI training datasets and knowledge content on agronomic practices for the AI chatbot, ensuring accuracy, relevance to local farming contexts, and usability for project implementation and farmer support. • Together with the Data Associate, serve as an administrator responsible for managing, and maintaining project dashboards and project data systems. • Ensure project indicators and datasets are updated, integrated, and accessible. • Support development and tracking of project monitoring and evaluation (M&E) indicators. • Conduct analysis to assess program progress, outcomes, and key trends. • Provide technical guidance to Data Officers on data management and analysis. • Coordinate with project managers and field teams to ensure smooth data collection, processing, and reporting workflows. • Collaborate with partners and data vendors to ensure data quality standards are implemented.

• Gathering relevant company contact information, such as email addresses, job titles, and external and URLs (i.e. LinkedIn), for cold outreach and marketing campaigns • Ensuring 100% data quality and accuracy, meticulously verifying the accuracy of the data to ensure that the data can be trusted for further use • Identifying potential leads and prospects; sourcing contact information for those parties • Assistance in the creation of marketing campaign performance reports and supporting analyses • Interpreting data, analyzing results using statistical tools, and providing ongoing reports on marketing campaign performance • Providing quality analysis and assurance for imported data from various external sources • Alignment of contact sourcing strategies with overall business goals and marketing activities • Clear arrangement of the data in accordance with the demands of various projects • Organizing CRM and contact information data into lists that are tailored to meet the data quality requirements • Periodic reviews and CRM contact database updates to ensure data accuracy and usefulness

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: Bilingual Spanish STEM Expert Type: Contract Compensation: $38–$43/hour Commitment: 20 hours/week Duration: 1 month Role Responsibilities - Design and optimize STEM-based prompts in Spanish and/or English. - Create detailed prompts with multiple constraints and scientific instructions. - Define and document evaluation standards. - Establish expectations for correct responses in STEM contexts. - Develop rubrics for scientific rigor and linguistic clarity in Spanish. - Conduct model testing and grading. - Run prompts through models and assess outputs for scientific accuracy and reasoning quality. - Compare Spanish vs. English outputs. - Support benchmarking and quality assurance. - Collaborate in QA processes to ensure scientific rigor and consistency in Spanish-language benchmarks. Qualifications - Native-level fluency in Spanish (written) with strong reading/writing ability in English. - BS or BA in Biology / Physics / Chemistry. - Familiarity with undergraduate-level biology / physics / chemistry topics. - Strong writing and critical thinking skills. - Ability to work independently and meet deadlines. Requirements - 2+ years of experience in teaching, research, or an applied STEM discipline field (preferred). Application Process - Complete an AI-led interview (around 15 minutes). - Complete a 45-minute written assessment that will guide you through writing rubrics. - If selected, you will be invited to work on the project. 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 . - Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Role Description The position is for a Meteorologist for AI Model Training on a contract basis, with compensation ranging from $45–$55/hour. - Interpret High-Resolution Rapid Refresh (HRRR) outputs at specific time steps. - Identify key atmospheric features such as troughs, jet streaks, fronts, instability, and convection. - Explain physical mechanisms driving observed conditions, including vorticity advection, lift, moisture transport, and upper-level divergence. - Produce clear, structured, and technically accurate written explanations. - Ensure all labels are grounded strictly in HRRR data without external references. Qualifications - Degree in Meteorology / Atmospheric Science or 2+ years of operational forecasting experience. - Strong synoptic and mesoscale analysis skills. - Deep understanding of atmospheric dynamics and thermodynamics. - Clear, precise technical writing ability. Requirements - Behavioral interview focusing on forecast reasoning and decision-making. - Short technical assessment involving 500 mb chart interpretation. Company 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.