Find your dream job now

About Micro1:

About Micro1:

About Micro1: Job DescriptionRole Title: Life Sciences Research AssistantRole Type: ContractorLocation: Remotemicro1 is engaging Life Sciences Research Assistants to contribute to a customer's project focused on creating next-generation AI benchmarks. 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. You'll design and author expert-level evaluation tasks, using authentic research artifacts and technical challenges that mirror advanced practice in the life sciences. Each assignment will test AI agents with realistic data sets, multi-step problem-solving, and rigorous evaluation rubrics that go beyond textbook science.Scope of WorkDevelop complex, authentic research evaluation tasks in the life sciences domain (e.g., experimental design critique, protocol analysis, and primary data interpretation).Source and synthesize research materials, including raw experimental data, lab protocols, technical literature, and supplementary documents.Define and document the correct methodological approach and biological interpretation for each task.Create comprehensive, multiple item rubrics targeting methodological rigor, data interpretation, and source fidelity for LLM-based evaluation.Ensure all tasks reflect the nuance, ambiguity, and depth of real-world scientific work — not simplified or hypothetical scenarios.Collaborate asynchronously with project coordinators for feedback and refinement of deliverables.Preferred QualificationsBachelor's or Master's in biology, biomedical sciences, biochemistry, or a closely related discipline.Minimum 2 years of hands-on research or laboratory experience with primary data analysis and scientific protocols.Demonstrated expertise in protocol-driven, multi-source scientific workflows.Mastery of scientific reasoning, source synthesis, and methodological evaluation.Strong written English skills, with experience drafting or reviewing scientific documentation.Familiarity with handling diverse data formats (CSVs, spreadsheets, PDFs, technical documents).Attention to detail and commitment to rubric fidelity, ensuring high-quality, objective task design.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: Physical Sciences Research AssistantRole Type: ContractorLocation: Remotemicro1 is engaging Physical Sciences Research Assistants to contribute specialized expertise to a customer's innovative 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 WorkDesign and author advanced evaluation tasks in the physical sciences, encompassing experimental analysis, computational modeling, and technical reasoning.Source, synthesize, and curate authentic research artifacts, including datasets (CSVs, spreadsheets), computational results, and scientific references.Craft scenarios and problem statements reflecting the complexity of real-world technical challenges, avoiding simplified or textbook-based examples.Define rigorous methodological approaches and quantitative solutions for each task.Develop detailed, 35+ item grading rubrics that assess technical rigor, numerical accuracy, interpretation quality, and adherence to scientific protocols.Document protocols and experimental reasoning with clarity to ensure reproducibility and rubric fidelity.Collaborate with project leads to ensure each task meets high standards of methodological integrity and benchmark relevance.Preferred QualificationsBachelor's or Master's degree in physics, chemistry, materials science, or a closely related discipline.Minimum of 2 years of hands-on research experience or applied technical project work in a physical sciences domain.Proven methodological rigor and strong quantitative analysis skills in scientific contexts.Demonstrated ability to document complex technical procedures and results in clear, professional written English.Experience authoring or evaluating scientific rubrics or assessments is a plus.Familiarity with handling large volumes of technical data and diverse document formats (e.g., PDFs, spreadsheets).Commitment to high standards of protocol and rubric fidelity throughout project assignments.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: Retail CX Policy ExpertRole Type: ContractorLocation: Remote, US or Canada-based.micro1 is engaging Retail CX Policy Experts to contribute to a customer’s project focused on defining ground-truth operational guidelines for AI-powered customer experience (CX) systems. 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.You will author authentic return, refund, and eligibility policies modeled after real-world US retail and e-commerce operations, creating the authoritative standards by which AI agents are evaluated. This opportunity involves comprehensive policy creation and scenario design, ensuring the coverage of nuanced, edge-case situations encountered in modern CX environments.Scope of WorkAuthor and document detailed return, refund, and eligibility policies reflecting up-to-date US retail and e-commerce practices.Design nuanced customer-service scenarios, including edge cases, to surface policy ambiguities and operational gaps.Establish clear, correct customer-service resolutions for both standard and exceptional situations according to your authored policies.Create precise grading rubrics for evaluating agent performance on complex, multi-step customer experience cases.Identify, document, and escalate policy conflicts or ambiguities to ensure comprehensive AI environment coverage.Collaborate with domain leads and quality calibration contributors to evolve policies as project requirements shift.Define and validate “golden outcomes” for AI model training and assessment.Preferred Qualifications3–5+ years of hands-on experience in US retail or e-commerce CX operations, including escalation handling and process design.Direct background in authoring or redesigning return, refund, and eligibility policies (not just executing prewritten guidelines).Deep knowledge of US retail conventions: return windows, restocking fees, gift returns, damaged goods, chargeback handling, and marketplace fulfillment.Exceptional written and verbal communication skills, with a focus on unambiguous policy documentation.Bachelor’s degree preferred (business, operations, or related disciplines) or equivalent real-world expertise.Experience across multiple retail categories (such as apparel, electronics, home goods, and third-party marketplaces) is a plus.Previous involvement in CX process design, knowledge management, or contract-based AI evaluation projects is advantageous.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.