Find your dream job now

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.

About Micro1: Job Title: Hindi Transcription ExpertJob 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. No prior experience in AI is required — your domain knowledge is what matters.Key Responsibilities:Review and accurately transcribe Hindi audio files, ensuring superior language fidelity and clarity.Audit and correct machine-generated transcription outputs, applying a fluent understanding of Hindi language and nuances.Add detailed metadata tags and annotations to transcriptions for enhanced data organization and retrieval.Maintain meticulous attention to detail by spotting and correcting inconsistencies, errors, or ambiguities in scripts.Collaborate with the customer's team, providing feedback and insights into the transcription and annotation process.Ensure timely delivery of high-quality, client-ready transcription and annotation projects.Uphold data privacy and confidentiality at all times.Required Skills and Qualifications:Fluent proficiency in spoken and written Hindi.Demonstrated expertise in transcription, annotation, and metadata tagging of Hindi audio content.Exceptional attention to detail with a commitment to accuracy and quality.Strong written and verbal communication skills, with the ability to provide clear feedback and documentation.Experience in correcting and editing machine-generated transcriptions for errors and contextual relevance.Ability to work independently and collaboratively in a fully remote, fast-paced environment.Proficient in using transcription software and familiar with digital collaboration tools.Preferred Qualifications:Prior experience as an audio engineer, data annotator, or professional transcriber.Background in linguistic data processing or working with large-scale audio datasets.Understanding of AI or machine learning data annotation processes (a plus, but not required).

About Micro1: Job Title: Arabic (MSA) Transcription ExpertJob 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. No prior experience in AI is required — your domain knowledge is what matters.Key Responsibilities:Transcribe audio content in Modern Standard Arabic (MSA) with exceptional accuracy and fluency.Review and correct machine-generated transcriptions, ensuring correctness and clarity.Add relevant metadata tags and annotations to enrich the transcribed data for downstream AI processing.Identify contextual information in audio files and highlight linguistic nuances as needed.Uphold rigorous attention to detail to guarantee the highest quality of transcription and annotation.Collaborate with the customer’s team, providing clear written and verbal feedback on data quality.Maintain consistency and confidentiality while working with sensitive or proprietary content.Required Skills and Qualifications:Fluent proficiency in Modern Standard Arabic, both written and spoken.Proven experience in audio transcription with a demonstrable record of accuracy and attention to detail.Strong expertise in adding and managing metadata tags and annotations for audio or text content.Excellent written and verbal communication skills in Arabic and English.Ability to spot and correct errors in machine-generated transcription outputs.Familiarity with transcription guidelines and best practices for language data quality.Self-motivated, reliable, and comfortable working independently in a remote environment.Preferred Qualifications:Background as an audio engineer, data annotator, or professional transcriber.Experience contributing to linguistic data projects or handling large-scale transcription tasks.