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About Micro1: Job DescriptionJob Title: Member of Technical Staff, Coding ResearchJob Type: Full-timeLocation: RemoteThe RoleWe are seeking a Member of Technical Staff to help advance the evaluation and development of frontier coding agents. Sitting at the intersection of AI research, software engineering, and model evaluation, you will design the benchmarks, methodologies, and data systems that shape how next-generation coding models are measured and improved.What You'll DoDesign and own evaluation frameworks for coding agents, including benchmark specifications, scoring methodologies, rubrics, and quality standards.Lead end-to-end research initiatives focused on measuring and improving coding model performance across diverse software engineering tasks.Develop high-quality datasets, golden examples, and evaluation protocols that enable reliable assessment of frontier coding systems.Analyze model behavior and failure modes, identifying systematic weaknesses and translating findings into actionable improvements for training and evaluation.Build tooling and infrastructure that support large-scale experimentation, data generation, review workflows, and evaluation pipelines.Establish best practices for coding-agent assessment, ensuring methodological rigor, reproducibility, and measurement quality.Partner closely with researchers, engineers, and applied AI teams to design experiments and evaluate emerging model capabilities.Contribute to technical reports, benchmark studies, and client-facing research initiatives that communicate model performance and insights.What We're Looking ForStrong software engineering background with expertise in Python, C++, or comparable programming languages.3+ years of experience in software engineering, machine learning, AI research, evaluation, or related technical disciplines.Experience designing, reviewing, or validating technical assessments, benchmarks, coding tasks, or evaluation methodologies.Familiarity with large language models, coding agents, reinforcement learning, model evaluation, or related AI systems.Proven ability to build tooling, automate workflows, and improve technical processes through systematic experimentation.Strong analytical skills with the ability to investigate model behavior and derive insights from complex technical systems.Excellent written and verbal communication skills, including the ability to clearly articulate technical findings to diverse audiences.Comfortable operating in fast-moving research environments with significant ambiguity and evolving priorities.PreferredExperience working on frontier AI systems, coding agents, or model evaluation research.Deep interest in understanding how data, evaluations, and feedback mechanisms influence model capabilities.Track record of independently driving ambiguous technical or research projects from conception to execution.Experience designing benchmarks or datasets for machine learning systems at scale.Familiarity with agentic workflows, tool use, reinforcement learning, or post-training methodologies.Publications, open-source contributions, or demonstrated technical leadership in AI, machine learning, or software engineering.Compensation & Benefits NoticeThe national pay range for this full-time position is base salary of $140,000 –$180,000 USD. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.DisclaimerThe information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.

About Micro1: Job Title: Java DeveloperJob Type: ContractorLocation: RemoteJob Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.Key Responsibilities:Design, develop, and maintain backend components using Java and the Spring ecosystem.Implement high-quality, secure, and scalable software solutions aligned with business objectives.Collaborate with cross-functional teams, including architects, product owners, and QA engineers, to deliver seamless integrations.Participate in code reviews, contributing to best practices and continuous improvement efforts.Troubleshoot, debug, and optimize backend processes to ensure consistent performance and reliability.Write clean, well-documented code, adhering to industry standards and customer requirements.Communicate clearly in written and verbal formats, ensuring alignment with the customer's vision and team objectives.Required Skills and Qualifications:Expert-level proficiency in Java programming and backend development.Strong hands-on experience with Spring and related frameworks.Solid understanding of RESTful services, microservices architecture, and API design.Proven ability to work independently in a remote team setting.Excellent written and verbal communication skills, with a focus on clarity and collaboration.Demonstrated track record of delivering complex backend solutions for enterprise environments.Strong problem-solving abilities and attention to detail.Preferred Qualifications:Experience integrating Java applications with modern DevOps tools and cloud platforms.Background in performance tuning and optimization for high-traffic systems.Prior experience working on distributed, agile teams for global customers.

About Micro1: Job Title: Software EngineeringJob Type: Contractor (10-12 hours per week)Location: RemoteJob Summary:We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software engineering tasks. This role is best suited for developers who can reason through unfamiliar codebases, explain engineering decisions clearly, and solve practical backend, full-stack, systems, or infrastructure-related problems.No prior AI experience is required. What matters most is strong software engineering judgment, clean technical communication, and the ability to evaluate code, architecture, tradeoffs, and implementation quality.Key Responsibilities:Work on challenging software engineering tasks across backend, full-stack, infrastructure, and systems-related projects.Review, debug, improve, and explain code across different technical environments.Design or evaluate practical solutions involving APIs, databases, services, integrations, testing, and deployment workflows.Identify tradeoffs around scalability, maintainability, performance, reliability, security, and developer experience.Communicate technical reasoning clearly in writing, including why a solution works and what alternatives were considered.Collaborate with the customer’s team on technical reviews, implementation decisions, and problem-solving exercises.Adapt quickly to new codebases, frameworks, and technical requirements.Required Skills and Qualifications:5+ years of hands-on software engineering experience.Strong experience in at least one backend or full-stack engineering environment, such as Python, JavaScript/TypeScript, Node.js, Java, C#, .NET, C++, Go, Ruby, PHP, or similar.Experience building, maintaining, or reviewing production-level applications, APIs, services, databases, or integrations.Strong understanding of software engineering fundamentals, including debugging, testing, code quality, architecture, and technical tradeoffs.Ability to explain complex engineering decisions clearly and objectively.Comfortable reading and reasoning through unfamiliar code or technical requirementsPreferred Qualifications:Experience with cloud environments such as AWS, GCP, or Azure.Experience with CI/CD pipelines, DevOps workflows, containers, monitoring, or production operations.Experience with frontend frameworks such as React, Next.js, Angular, Vue, or React Native.Open-source contributions, public GitHub work, technical writing, or strong examples of past engineering work.Experience mentoring engineers, reviewing code, or making architecture decisions.

About Micro1: Job DescriptionJob Title: Software Engineer (Human Data Platforms)Job Type: Full-timeLocation: Remote (Must overlap PST timezone at least 6-8 hours)The RoleBuild and ship systems across the stack — APIs, UI, and data pipelines.You’ll work on data and document infrastructure that powers model evaluation, secure data handling, and complex document workflows. Expect to move fast, own problems end-to-end, and operate with high autonomy in a small, senior team.What You’ll DoShip features across backend (Python/FastAPI) and frontend (React/Next.js/TypeScript).Build data pipelines for evaluation and model control layers.Own secure document pipelines (S3/GCS/Azure, permissions, no data leakage).Develop OCR + search systems for PDFs, images, and scanned docs.Parse and enforce complex nested JSON structures.Build document tooling (generate, edit, annotate PDFs/images).Debug and scale pipelines and storage systems.Improve performance, reliability, and system design across the stack.What We’re Looking ForStrong builder with Python (FastAPI) + React experience.Comfortable working across the stack.Solid fundamentals: APIs, SQL, async systems, data modeling.Experience with cloud (AWS/GCP/Azure).Ability to work with complex data systems or pipelines.High ownership, low ego, fast execution.PreferredLLM / AI system experience.OCR, document processing, or search systems.Experience with secure data handling / permissions.Built and shipped real systems (not just tutorials).

About Micro1: Job Title: Video Data Entry Specialist (LATAM)Job Type: ContractorLocation: Remote - experts based in Latin America and the Caribbean. Selected countries include:Mexico, Costa Rica, Panama, Dominican Republic, Brazil, Argentina, Colombia, Chile, Uruguay, Jamaica, Bahamas, and BarbadosJob Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.Key Responsibilities:Capture precise motion data using your smartphone’s IMU sensors during specified physical activities.Record synchronized video footage to ensure data accuracy and enhance the integrity of all collected motion data.Follow detailed technical protocols to consistently meet strict quality, labeling, and determinism standards.Deliver a minimum of 10 hours of high-quality, approved video data each week throughout the project’s duration.Communicate clearly and proactively with the team to clarify requirements and share insights on data collection practices.Maintain timely and reliable delivery of your outputs, aligned with project milestones and expectations.Participate in device compatibility checks and an innovative, AI-enabled interview process as part of onboarding.Required Skills and Qualifications:Access to a head strap to be able to record both hands within 48 hours of the start date.Supported devices include the iPhone 12 and later, Google Pixel 6 and later, and Samsung Galaxy S21 and later.Meticulous attention to detail and a proven record of following standardized protocols.Demonstrated ability to consistently manage output and meet deadlines in a dynamic, data-driven environment.Exceptional written and verbal communication skills essential for documentation and remote collaboration.Advanced tech-savviness and experience with mobile devices for sensor and video data capture.Physical ability to engage in repetitive movement tasks safely and effectively.Access to a compatible smartphone capable of high-fidelity data collection.Note: Applications submitted with a Gmail address are strongly preferred for seamless tool integration.Preferred Qualifications:Background in robotics, kinesiology, sensor-based data collection, or related technical disciplines.Experience with human motion analysis, activity segmentation, or machine learning dataset labeling.Familiarity with structuring large-scale datasets for AI and robotics applications.Compensation StructureCompensation is output-based; experts are paid per recorded video that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply: videos must be at a specific length defined by the project, and experts must submit a minimum of 10 to 15 hours of video per week.Start Timeline & AvailabilityWe typically fill roles within 48 hours, so we’re looking for teammates who are ready to jump in. If selected, we’d love for you to start your first task as soon as you move forward with your application. The expectation is to begin within ~24 hours of completing onboarding.Equipment RequirementsMobile:Tasks for this project must be performed from a mobile device (smartphone). Experts will record their workflow directly from the mobile device while completing tasks.Head Strap / Wearable: Tasks for this project must be performed using a head-mounted camera (head strap setup). Experts will record first-person video of physical tasks. The required head strap and any accompanying equipment specifications will be shared during onboarding.