Synthires

You would evaluate AI responses to consulting problems, create prompts and model answers, and provide structured feedback on business reasoning. | The role requires at least one year at a top management consulting firm, recent consulting experience within seven years, strong business analysis, and excellent written communication. | Management Consultant Position: Management Consultant Type: Contractor Compensation: $150–$350/hour Location: Remote About the Opportunity micro1 is partnering with a leading AI lab to engage former management consultants for high-impact AI training and evaluation projects. In this role, you'll apply your consulting toolkit, structured problem-solving approach, business analysis skills, and written communication to evaluate how AI models reason through complex business problems and help improve their performance toward an expert level. No prior AI experience is required — your consulting expertise and ability to solve complex business problems are what matter. Key Responsibilities • Evaluate AI model responses to business strategy and consulting-style problems. • Develop high-quality prompts, model answers, and detailed feedback. • Apply structured business and consulting frameworks to assess reasoning quality and identify gaps. • Analyze complex business scenarios using structured problem solving and business analysis. • Apply expertise in market research, financial analysis, and stakeholder considerations where relevant. • Collaborate with the project team as evaluation guidelines and requirements evolve. • Provide clear, rigorous written feedback to support continuous improvement of AI systems. Required Qualifications • At least 1 year of experience at a top management consulting firm, such as McKinsey, Bain, BCG, Strategy&, L.E.K., Oliver Wyman, or a similar firm. • At least part of the consulting experience must have been within the past 7 years. • Strong capabilities in business strategy, structured problem solving, and business analysis. • Excellent written English and business communication skills. • Strong analytical ability and attention to reasoning quality and business logic. Preferred Qualifications • Undergraduate degree from a top-ranked university. • Experience with market research and financial analysis. • Strong stakeholder management and business writing skills. • Experience evaluating complex business problems or developing structured recommendations. • Experience working on AI, technology, research, or evaluation projects is beneficial. Compensation • Competitive compensation of $150–$350/hour. • Independent contractor engagement. • Flexible, project-based remote work. • Opportunity to apply top-tier consulting expertise to next-generation AI training and evaluation. Eligibility • Candidates should be based in an English-speaking country. • Strong proficiency in written English is required. Application Process • Easy Apply on LinkedIn • Check Email for Next Steps • Participate in Resume Evaluation & Interview Stage

Evaluate AI-generated operational plans, workflows, staffing strategies, budgets, and management recommendations, then provide structured feedback on their practicality and business impact. | Requires at least four years in operations leadership, experience managing teams and resources across departments or locations, and strengths in budgeting, staffing, performance management, and written analysis. | General & Operations Manager Position: General & Operations Manager Type: Contract Compensation: $70–$110/hour Location: Remote (United States) About the Opportunity Mercor is partnering with leading AI research organizations to engage experienced General & Operations Managers in evaluating and improving next-generation AI systems. In this role, you will apply your expertise in operations management, business administration, workforce planning, budgeting, process optimization, and cross-functional leadership to assess AI-generated operational content and decision-making workflows. This opportunity is ideal for professionals who have managed business operations across multiple departments, locations, teams, or business units. You will review operational plans, staffing strategies, budgeting decisions, workflow improvements, and performance management scenarios to ensure outputs reflect real-world operational best practices and sound business judgment. The work is fully remote, flexible, and focused on practical business and operations management applications. No prior AI experience is required. Key Responsibilities • Evaluate AI-generated operational plans, staffing strategies, business processes, and management recommendations for quality and accuracy. • Review operational workflows and organizational procedures for practicality and effectiveness. • Compare multiple AI-generated responses and assess operational soundness, financial feasibility, and business impact. • Analyze scenarios involving workforce management, budgeting, scheduling, resource allocation, and performance improvement initiatives. • Assess operational decisions across multiple departments, teams, or business functions. • Identify inefficiencies, unrealistic assumptions, process gaps, and operational risks. • Provide structured written feedback explaining strengths, weaknesses, and improvement opportunities. • Evaluate performance management approaches, workflow coordination strategies, and operational planning frameworks. • Contribute expert insights that improve AI performance in operations and business management tasks. Required Qualifications • 4+ years of experience as a General Manager, Operations Manager, Operations Director, Business Manager, District Manager, or a closely related operations leadership role. • Experience directing multi-department or multi-location operations. • Strong background in budgeting, staffing, performance management, and operational oversight. • Experience leading teams, managing resources, and coordinating cross-functional business activities. • Strong written English communication skills. • Ability to commit at least 20 hours per week. • Excellent analytical, organizational, and decision-making skills. • Ability to work independently in a remote environment. Preferred Qualifications • Bachelor's degree or higher in Business Administration, Management, Operations, Finance, Economics, or a related field. • Experience managing regional, multi-site, or enterprise-level operations. • Background in retail, healthcare, logistics, manufacturing, hospitality, financial services, professional services, or other operationally intensive industries. • Experience with process improvement methodologies such as Lean, Six Sigma, or continuous improvement programs. • Familiarity with workforce planning, KPI management, budgeting systems, and operational analytics. • Experience implementing operational strategies, performance initiatives, and organizational improvements. • Strong understanding of business operations, resource management, and organizational leadership. Compensation • $70–$110/hour • Weekly payments via Stripe or Wise • Remote contract engagement • Flexible schedule • Independent contractor arrangement Application Process • Submit your application and professional background information. • Complete any required screening assessments. • Participate in project-specific evaluations if applicable. • Complete contractor onboarding. • Begin contributing to active operations management evaluation projects. Additional Details • Fully remote U.S.-based opportunity. • Immediate project availability. • Expected project duration of approximately 4–6 weeks, with potential extensions. • Flexible workload and scheduling. • No prior AI experience required. • Work focuses on evaluating AI-generated operational management content and workflows. • Applications are reviewed on a rolling basis. • Opportunity to help shape the next generation of AI systems using real-world operations and business management expertise.

Evaluate AI-generated software engineering work products for accuracy, usability, and professional quality. | Requires 5+ years of software engineering experience, strong English proficiency, and ability to provide structured feedback on technical documents. | Software Engineer Expert Position: Software Engineer Expert Type: Hourly Contract Compensation: $100–$150/hour Location: Remote About the Opportunity We are seeking experienced Software Engineering Experts to evaluate AI-generated work products, including presentations, spreadsheets, and documents, for real-world professional quality. In this remote, hourly role, selected experts will apply their software engineering knowledge and professional judgment to assess whether AI-generated materials are accurate, usable, technically appropriate, and well presented within a software engineering context. Your feedback will help improve the quality and reliability of AI-generated professional work. Responsibilities • Evaluate AI-generated slides, spreadsheets, documents, and other professional artifacts for usability in software engineering contexts. • Assess outputs for factual accuracy, technical relevance, and professional quality. • Identify errors in content, presentation, formatting, logic, and overall usability. • Evaluate whether materials appropriately reflect real-world software engineering practices. • Provide clear, structured, and actionable written feedback. • Apply professional software engineering judgment consistently when grading AI-generated work products. Required Qualifications • 5+ years of relevant professional experience in Software Engineering at a top firm in the United States, United Kingdom, Canada, Australia, or New Zealand. • Professional fluency in English. • High proficiency with Microsoft Office and Google Workspace, including: • Microsoft PowerPoint • Microsoft Excel • Microsoft Word • Google Workspace applications • Strong written communication and ability to provide precise, structured feedback. • Strong attention to detail and professional judgment. • Ability to evaluate work products against real-world software engineering standards. Preferred Qualifications • Master's degree or higher from a reputable institution. • Experience reviewing or evaluating technical documentation, presentations, spreadsheets, or other professional deliverables. • Experience providing structured quality feedback in professional or technical environments. Key Areas of Expertise • Software Engineering • Technical Evaluation • AI Output Evaluation • Technical Documentation • Professional Presentations • Spreadsheet Analysis • Microsoft PowerPoint • Microsoft Excel • Microsoft Word • Google Workspace • Quality Assurance • Technical Accuracy • Professional Communication • Work Product Review Compensation & Engagement • Compensation: $100–$150/hour • Engagement Type: Hourly contract • Work Arrangement: Fully remote • Project Focus: Evaluation of AI-generated professional work products • Schedule: Flexible hourly engagement • Work Products: Slides, spreadsheets, documents, and related professional artifacts Application Process • Submit your application with your resume and relevant professional experience. • Demonstrate at least 5 years of qualifying software engineering experience. • Confirm professional English proficiency and proficiency with Microsoft Office and Google Workspace. • Complete any required evaluation or screening process. • Complete onboarding if selected. • Begin evaluating AI-generated software engineering work products.

Evaluate AI-generated software engineering work products for accuracy, usability, and professional quality. | 5+ years software engineering experience, strong written communication, proficiency with Microsoft Office and Google Workspace. | Software Engineer Expert Position: Software Engineer Expert Type: Hourly Contract Compensation: $100–$150/hour Location: Remote About the Opportunity We are seeking experienced Software Engineering Experts to evaluate AI-generated work products, including presentations, spreadsheets, and documents, for real-world professional quality. In this remote, hourly role, selected experts will apply their software engineering knowledge and professional judgment to assess whether AI-generated materials are accurate, usable, technically appropriate, and well presented within a software engineering context. Your feedback will help improve the quality and reliability of AI-generated professional work. Responsibilities • Evaluate AI-generated slides, spreadsheets, documents, and other professional artifacts for usability in software engineering contexts. • Assess outputs for factual accuracy, technical relevance, and professional quality. • Identify errors in content, presentation, formatting, logic, and overall usability. • Evaluate whether materials appropriately reflect real-world software engineering practices. • Provide clear, structured, and actionable written feedback. • Apply professional software engineering judgment consistently when grading AI-generated work products. Required Qualifications • 5+ years of relevant professional experience in Software Engineering at a top firm in the United States, United Kingdom, Canada, Australia, or New Zealand. • Professional fluency in English. • High proficiency with Microsoft Office and Google Workspace, including: • Microsoft PowerPoint • Microsoft Excel • Microsoft Word • Google Workspace applications • Strong written communication and ability to provide precise, structured feedback. • Strong attention to detail and professional judgment. • Ability to evaluate work products against real-world software engineering standards. Preferred Qualifications • Master's degree or higher from a reputable institution. • Experience reviewing or evaluating technical documentation, presentations, spreadsheets, or other professional deliverables. • Experience providing structured quality feedback in professional or technical environments. Key Areas of Expertise • Software Engineering • Technical Evaluation • AI Output Evaluation • Technical Documentation • Professional Presentations • Spreadsheet Analysis • Microsoft PowerPoint • Microsoft Excel • Microsoft Word • Google Workspace • Quality Assurance • Technical Accuracy • Professional Communication • Work Product Review Compensation & Engagement • Compensation: $100–$150/hour • Engagement Type: Hourly contract • Work Arrangement: Fully remote • Project Focus: Evaluation of AI-generated professional work products • Schedule: Flexible hourly engagement • Work Products: Slides, spreadsheets, documents, and related professional artifacts Application Process • Submit your application with your resume and relevant professional experience. • Demonstrate at least 5 years of qualifying software engineering experience. • Confirm professional English proficiency and proficiency with Microsoft Office and Google Workspace. • Complete any required evaluation or screening process. • Complete onboarding if selected. • Begin evaluating AI-generated software engineering work products.

Design and develop reinforcement learning environments and software engineering evaluation tasks for AI model testing. | Strong proficiency in modern programming languages, deep understanding of algorithms and software architecture, debugging complex issues, and experience with development tools and workflows. | Senior Software Engineer Position: Senior Software Engineer Type: Contract (Part-Time) Compensation: $100–$150/hour Location: Remote About the Opportunity This opportunity is for experienced Senior Software Engineers with expertise in software development, algorithms, data structures, debugging, codebase refactoring, performance optimization, and modern programming languages to contribute to advanced AI training and evaluation projects. You'll apply your software engineering expertise to create Reinforcement Learning (RL) environments that test AI models on realistic software engineering workflows, including DevOps, CI/CD, debugging, code optimization, and command-line development workflows. You'll design reproducible environments, develop golden reference solutions, and create challenging engineering tasks that evaluate an AI model's ability to reason through complex software problems. No prior AI experience is required. Your software engineering expertise and technical problem-solving skills are the primary qualifications for success in this role. Responsibilities - Design and develop Reinforcement Learning environments that evaluate AI models on realistic software engineering workflows. - Create technical tasks involving debugging, feature implementation, code refactoring, performance optimization, and DevOps workflows. - Build reproducible environments using tools such as Git, Docker, GDB, AddressSanitizer (ASan), FFmpeg, and other CLI tools. - Develop and validate golden reference solutions for software engineering evaluation tasks. - Apply expertise in algorithms, data structures, debugging, and performance tuning to create challenging technical scenarios. - Evaluate AI-generated solutions for correctness, maintainability, performance, and robustness. - Identify bugs, edge cases, implementation failures, and performance bottlenecks. - Collaborate with technical teams to refine task specifications, evaluation criteria, and engineering workflows. - Maintain high standards for reproducibility, technical accuracy, and evaluation quality. Required Qualifications - Strong proficiency in one or more of C++, Python, Java, Go, TypeScript, or Rust. - Deep understanding of algorithms, data structures, software architecture, and performance optimization. - Demonstrated experience debugging complex software issues and delivering maintainable solutions. - Strong background in feature development, codebase refactoring, and software optimization. - Experience working with development tools, command-line environments, and software engineering workflows. - Excellent analytical, problem-solving, written, and verbal communication skills. - Strong attention to detail and ability to work effectively in remote, cross-functional teams. Preferred Qualifications - Experience working with large-scale or distributed codebases. - Familiarity with DevOps, CI/CD, containerization, and production software environments. - Experience with tools such as Git, Docker, GDB, ASan, FFmpeg, or similar developer tooling. - Familiarity with AI, machine learning, reinforcement learning, or AI model evaluation. - Experience participating in rigorous code reviews and software engineering quality initiatives. - Background in developing technical benchmarks, evaluation frameworks, or reproducible engineering environments. Compensation - Competitive compensation of $100–$150/hour. - Output-based contractor engagement. - Part-time commitment of approximately 15 hours per week. - Fully remote opportunity. Application Process - Easy Apply on LinkedIn - Complete the required screening questions - Participate in an AI interview (approximately 30 minutes) - Complete a technical assessment, if required - Hiring Manager review

Design and develop reinforcement learning environments and challenging software engineering tasks to evaluate AI models. | Strong proficiency in modern programming languages, deep understanding of algorithms and software architecture, and experience with debugging and software optimization. | Senior Software Engineer Position: Senior Software Engineer Type: Contract (Part-Time) Compensation: $100–$150/hour Location: Remote About the Opportunity This opportunity is for experienced Senior Software Engineers with expertise in software development, algorithms, data structures, debugging, codebase refactoring, performance optimization, and modern programming languages to contribute to advanced AI training and evaluation projects. You'll apply your software engineering expertise to create Reinforcement Learning (RL) environments that test AI models on realistic software engineering workflows, including DevOps, CI/CD, debugging, code optimization, and command-line development workflows. You'll design reproducible environments, develop golden reference solutions, and create challenging engineering tasks that evaluate an AI model's ability to reason through complex software problems. No prior AI experience is required. Your software engineering expertise and technical problem-solving skills are the primary qualifications for success in this role. Responsibilities • Design and develop Reinforcement Learning environments that evaluate AI models on realistic software engineering workflows. • Create technical tasks involving debugging, feature implementation, code refactoring, performance optimization, and DevOps workflows. • Build reproducible environments using tools such as Git, Docker, GDB, AddressSanitizer (ASan), FFmpeg, and other CLI tools. • Develop and validate golden reference solutions for software engineering evaluation tasks. • Apply expertise in algorithms, data structures, debugging, and performance tuning to create challenging technical scenarios. • Evaluate AI-generated solutions for correctness, maintainability, performance, and robustness. • Identify bugs, edge cases, implementation failures, and performance bottlenecks. • Collaborate with technical teams to refine task specifications, evaluation criteria, and engineering workflows. • Maintain high standards for reproducibility, technical accuracy, and evaluation quality. Required Qualifications • Strong proficiency in one or more of C++, Python, Java, Go, TypeScript, or Rust. • Deep understanding of algorithms, data structures, software architecture, and performance optimization. • Demonstrated experience debugging complex software issues and delivering maintainable solutions. • Strong background in feature development, codebase refactoring, and software optimization. • Experience working with development tools, command-line environments, and software engineering workflows. • Excellent analytical, problem-solving, written, and verbal communication skills. • Strong attention to detail and ability to work effectively in remote, cross-functional teams. Preferred Qualifications • Experience working with large-scale or distributed codebases. • Familiarity with DevOps, CI/CD, containerization, and production software environments. • Experience with tools such as Git, Docker, GDB, ASan, FFmpeg, or similar developer tooling. • Familiarity with AI, machine learning, reinforcement learning, or AI model evaluation. • Experience participating in rigorous code reviews and software engineering quality initiatives. • Background in developing technical benchmarks, evaluation frameworks, or reproducible engineering environments. Compensation • Competitive compensation of $100–$150/hour. • Output-based contractor engagement. • Part-time commitment of approximately 15 hours per week. • Fully remote opportunity. Application Process • Easy Apply on LinkedIn • Complete the required screening questions • Participate in an AI interview (approximately 30 minutes) • Complete a technical assessment, if required • Hiring Manager review