Find your dream job now

About Micro1: Job DescriptionRole Title: Economics Expert (PhD)Role Type: ContractorLocation: Remotemicro1 is engaging Economics Experts (PhD) to contribute advanced subject-matter expertise to a customer's AI training initiative. 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 WorkProduce precise, comprehensive, and well-articulated responses to advanced economics prompts, focusing on clarity, depth, and educational value rather than rubric-based scoring.Review and validate economics data, queries, and proposed solutions to ensure accuracy, completeness, and alignment with current methodologies.Develop robust explanations and justifications across a spectrum of economics concepts, from foundational principles to specialized topics.Collaborate with annotation leads and project managers to refine project requirements, ensuring delivery of top-quality content for AI model advancement.Create "golden responses" that serve as benchmarks for model training, setting high standards for future outputs.Document the context and rationale behind each response to enhance model interpretability and support further annotation efforts.Participate in remote discussions and workshops to clarify strategic objectives and foster cohesive contributor alignment.Preferred QualificationsPhD in Economics or a closely related field with proven expertise in both core and specialized areas of economics.Exceptional ability to communicate complex economics concepts with precision and clarity, both in writing and verbally.Demonstrated experience developing, reviewing, or publishing scientific, technical, or educational economics materials (e.g., peer-reviewed articles, research reports, curriculum).Broad familiarity with multiple economics sub-disciplines (such as microeconomics, macroeconomics, econometrics, behavioral economics, labor, or international economics), and adaptability in tailoring explanations for varied audiences.Strong attention to detail with a dedication to analytical rigor and methodological accuracy.Background in AI, data annotation, or digital content projects is advantageous but not mandatory.Proven collaboration skills, especially in remote or cross-functional project environments.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 DescriptionRole Title: Biology Expert (PhD)Role Type: ContractorLocation: Remotemicro1 is engaging Biology Experts (PhD) to contribute to a dynamic customer project focused on advancing artificial intelligence capabilities. 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 WorkCritically evaluate and provide detailed feedback on biology-related data, prompts, or content used in AI development workflows.Create, review, and refine scientific scenarios, questions, or explanations reflecting complex, real-world biological problems.Offer expert-level insights to ensure accuracy, relevance, and depth of AI training datasets and system outputs in the biological domain.Collaborate with platform teams to clarify ambiguities and improve data quality, coverage, and representativeness for biological subject matter.Document findings, methodologies, and rationale to support transparency and reproducibility in project deliverables.Participate in iterative review cycles and ongoing evaluation to enhance the AI system’s capabilities in biology.Engage in knowledge-sharing sessions with interdisciplinary experts, contributing to the enrichment of project outcomes.Preferred QualificationsPhD in biology or a closely related life science discipline.Demonstrated expertise in core biological principles with the ability to contextualize complex topics for diverse audiences.Exceptional written and verbal communication skills, ensuring clear articulation of feedback and scientific reasoning.Experience with scientific data analysis, critical evaluation of research, and synthesis of intricate subject matter.Proven ability to work independently, consistently delivering high-quality outputs within defined project frameworks.Prior contributions to interdisciplinary scientific or technology-focused projects (exposure to AI is a plus but not mandatory).Keen attention to detail, consistency, and a passion for promoting scientific rigor and accuracy.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 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 tailored for individuals who are passionate about physics, thrive in analytical environments, and excel at communicating complex concepts both in writing and verbally. As a contributor, your insights will directly influence the evolution of AI models by ensuring technical accuracy and scientific depth.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 representing advanced physics subject matter.Provide expert scientific feedback on complex questions and model outputs to ensure 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 strong foundations in both theoretical and applied physics.Exceptional ability to communicate complex scientific topics clearly, both in writing and verbally.Experience developing or reviewing educational or technical materials in physics.Demonstrated analytical and problem-solving skills relevant to scientific research.Adaptability to evolving project requirements and a proactive approach to new challenges.Interest or familiarity with AI, data science, or digital training environments is a plus, but not required.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 DescriptionRole Title: Chemistry Expert (PhD)Role Type: ContractorLocation: Remotemicro1 is engaging Chemistry Experts (PhD) to contribute their advanced subject-matter expertise to a customer’s AI training initiative. 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 WorkProduce authoritative, accurate, and well-explained responses to advanced chemistry queries aimed at AI model improvement, emphasizing clarity and depth rather than rubric-based scoring.Review and evaluate chemistry data, questions, and solutions to guarantee scientific accuracy, completeness, and current best-practice alignment.Develop comprehensive explanations and justifications across a wide array of chemical concepts, spanning foundational and specialized areas of chemistry.Collaborate with annotation leads and project managers to refine requirements and uphold high standards for response quality.Create exemplary “golden responses” that set benchmarks for future model outputs, ensuring consistency and reliability in training data.Document context and rationale behind answers to assist model interpretability and future annotation efforts.Participate in remote discussions or workshops to clarify objectives and maintain alignment across the contributor community.Preferred QualificationsPhD in Chemistry or a closely related scientific field with robust expertise in both foundational and advanced topics.Proven ability to communicate intricate chemistry concepts with precision in both written and verbal forms.Experience in developing, reviewing, or publishing scientific, technical, or educational chemistry materials (such as research articles, curricula, industry reports, or peer reviews).Familiarity with multiple sub-disciplines within chemistry (organic, inorganic, physical, analytical, materials science, etc.) and the ability to adapt explanations for diverse audiences.Exceptional attention to detail with a commitment to scientific accuracy and methodological rigor.Experience with AI, data annotation, or digital content development projects is advantageous but not essential.Strong collaboration skills, particularly in remote or cross-functional environments.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 DescriptionRole Title: Math Expert (PhD)Role Type: ContractorLocation: Remotemicro1 is engaging Math Experts (PhD) to contribute to an advanced AI training 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.Scope of WorkDevelop and provide comprehensive, accurate, and insightful responses to complex mathematics prompts spanning undergraduate and graduate curricula.Review, refine, and deliver "golden responses"—high-quality model answers that exemplify subject mastery for use in AI training.Collaborate with a distributed team of experts to ensure clarity, precision, and educational value in all mathematics content produced.Analyze and interpret intricate mathematical problems, proofs, and concepts, distilling them into structured and accessible explanations.Contribute feedback to improve project guidelines, response standards, and content workflows as the engagement evolves.Adhere to project requirements regarding format, quality, and timeliness of deliverables.Preferred QualificationsPhD in Mathematics or closely related discipline from an accredited institution.Proven track record of academic excellence and subject-matter expertise, especially at the graduate level.Exceptional written and verbal communication skills; ability to articulate complex concepts clearly and succinctly.Experience authoring or reviewing mathematics materials, such as textbooks, exams, problem sets, or journal articles.Familiarity with various branches of pure and applied mathematics.Demonstrated attention to detail and commitment to producing precise, high-quality work.Adaptability and openness to collaborative, iterative feedback in a remote expert network environment.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.