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About Micro1: Job Title: English Language Specialist (Transcription)Job 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:Transcribe English audio files with a high degree of accuracy and consistency.Review and refine machine-generated transcripts, correcting errors in spelling, grammar, and context.Add relevant metadata tags and annotations to transcripts to enhance data quality.Ensure all transcriptions meet strict quality standards and client formatting guidelines.Collaborate with the customer's team to clarify requirements and resolve ambiguities in source material.Handle sensitive or confidential content with discretion and professionalism.Maintain organized records of completed assignments and contribute to process improvements.Required Skills and Qualifications:Fluent proficiency in English, with exceptional grasp of spelling, grammar, and punctuation.Extensive experience in transcription and captioning of English audio content.Strong written and verbal communication skills, demonstrating care and precision in every task.High attention to detail, especially when reviewing and correcting machine-generated transcripts.Proficient in annotating and tagging metadata for language data sets.Excellent time management skills and ability to meet tight deadlines in a remote work environment.Comfort working independently while being responsive to feedback and updates from the customer’s team.Preferred Qualifications:Prior experience working with AI, speech recognition, or machine learning projects.Background in linguistics, English, or related language studies.Familiarity with industry-leading transcription tools and platforms.

About Micro1: Job Title: Competitive CoderJob Type: Contractor (15hrs+ a week)Location: 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.As an expert you will be creating Reinforcement Learning Environments which test an AI model’s ability to solve complex competitive programming problems. You will be tasked with creating a unique custom problem absent from all existing online judges, creating a reference solution and creating a robust test suite.Key Responsibilities:Design and implement checkers for competitive programming problems with multiple valid outputs, ensuring accuracy and robustness.Evaluate and validate participant submissions against complex problem statements sourced from platforms like Codeforces.Collaborate with the customer's team to fine-tune problem requirements and clarify ambiguous scenarios.Develop clear, maintainable code in C++ to assess diverse outputs and edge cases efficiently.Document checker logic and communicate intricacies or edge cases in both written and verbal form.Provide feedback to problem setters and reviewers on potential improvements to test cases and checkers.Stay updated with evolving competitive programming standards and incorporate best practices into checker development.Required Skills and Qualifications:Expertise in competitive programming and coding problem analysis.Advanced proficiency in C++ for implementing robust checker solutions.Strong analytical abilities to interpret complex problem constraints and multiple solution paths.Exceptional written and verbal communication skills; ability to articulate technical details clearly.Meticulous attention to detail in code validation and output consistency.Experience working independently in a remote, collaborative environment.Commitment to producing high-quality, well-documented code under tight deadlines.Preferred Qualifications:Prior experience as a problem setter, tester, or checker on major competitive programming platforms.Compensation StructureCompensation is output-based; experts are paid per task 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. Experts must submit a minimum of tasks per week.Start Timeline & AvailabilityWe typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.

About Micro1: Job DescriptionJob Title: Member of Technical Staff, Research EngineeringJob Type: Full-timeLocation: RemoteThe RoleWe are seeking a Research Engineer to operate at the frontier of Reinforcement Learning (RL), developing novel environments, training pipelines, and evaluation systems that advance the capabilities of modern AI models. This role sits at the intersection of research and production, translating experimental ideas into scalable, high-performance systems.What You’ll Work OnArchitect self-contained RL environments that capture complex, real-world tasks, including reward functions, verifiers, and evaluation logic.Design and scale episode pipelines and multi-component training processes (MCPs) to support reproducible experimentation.Build automated data generation systems, leveraging synthetic data to accelerate training cycles without compromising quality.Develop and integrate AI-driven evaluation and quality assurance systems for automated grading, validation, and feedback loops.Fine-tune and optimize open-source RL models using internally generated datasets and custom training strategies.Establish benchmarking frameworks to measure model capability, robustness, and data quality across tasks.Contribute to the release and analysis of evaluations on internal and external benchmark platforms (e.g., micro1 benchmarks).What We're Looking ForDeep experience in Reinforcement Learning, including environment design and training dynamics.Strong track record of building and scaling RL systems, pipelines, or experimentation frameworks.Proficient in automation and data generation, including synthetic data pipelines.Familiar with automated evaluation systems, model validation, and quality assurance workflows.Experienced in fine-tuning and evaluating open-source ML models.Clear, concise communicator with strong technical writing skills.Comfortable operating in fast-paced, research-driven, and highly collaborative environments.PreferredExperience publishing benchmarks, evaluations, or research artifacts.Familiarity with evaluation ecosystems (e.g., micro1 benchmarks or similar frameworks).Background in scalable infrastructure for large-scale RL experimentation.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 DescriptionRole Title: Physics (PhD)Role Type: ContractorLocation: Remotemicro1 is engaging Physics (PhD) experts to contribute their advanced knowledge to a high-impact AI development project for a customer. 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. This opportunity is ideal for those passionate about the intersection of physics and emerging technologies, and for individuals who excel at articulating complex scientific concepts in clear, concise ways. Strong written and verbal communication is essential to ensure your insights drive significant advancements in AI model training.Scope of WorkAnalyze and evaluate real-world physics data, concepts, and scenarios to enhance AI model training.Generate, review, and refine technical content and problem sets that represent advanced physics subject matter.Provide expert scientific feedback on complex questions and model outputs, ensuring technical accuracy and relevance.Translate intricate physics theories and phenomena into accessible explanations for AI interpretation.Collaborate with project stakeholders to align deliverables with evolving project objectives.Participate in quality assurance of training data by identifying gaps and recommending improvements.Preferred QualificationsDoctorate (PhD) in Physics from an accredited institution.Extensive background in advanced physical sciences, with a solid foundation in theoretical and applied physics.Exceptional ability to communicate complex scientific topics both in writing and verbally.Experience developing or reviewing educational or technical materials in physics.Demonstrated analytical and problem-solving skills pertinent to scientific research.Adaptability to evolving project requirements and a proactive approach to tackling new challenges.Interest or familiarity with AI, data science, or digital training environments is a plus, but not required.

About Micro1: Job DescriptionRole Title: PhD Engineer (Electrical, Mechanical, Chemical)Role Type: ContractorLocation: Remotemicro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to contribute to a high-impact customer project. 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. Scope of WorkDeliver authoritative written responses to complex engineering prompts in your area of expertiseReview and interpret scientific literature to provide contextually accurate and current insightsDesign and document realistic experimental scenarios based on advanced engineering principlesAnalyze data and interpret results to inform AI training datasets with precisionApply sophisticated calculus and quantitative methodologies to problem-solving tasksEnsure clarity, accuracy, and completeness of all submitted materials based on provided guidelinesCollaborate with project coordinators to refine prompt response quality as neededPreferred QualificationsPhD in Electrical, Mechanical, or Chemical EngineeringDemonstrated expertise in calculus, data analysis, research methodology, and experimental designExceptional written and verbal communication skills with the ability to convey complex concepts clearlyStrong literature review capabilities and familiarity with synthesizing scientific knowledgeExperience with or interest in AI, machine learning, or technology-driven projects (a plus, not required)Proven ability to produce "golden response" level deliverables with accuracy and completenessDetail-oriented mindset and commitment to high-quality, impactful contributions