About Micro1: Job DescriptionRole Title: Computational Biology & Cheminformatics ExpertRole Type: ContractorLocation: Remotemicro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery 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 WorkAnalyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.Preferred QualificationsAdvanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.
Bioinformatics
Biochemistry
Admet
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About Micro1: Job Title: AAA Gameplay Data Capture SpecialistJob Type: Contract {Pay Per Task Model}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.Key ResponsibilitiesPlay a range of top-tier AAA games to systematically capture gameplay data using in-house tools.Record, organize, and annotate game sessions with keen attention to accuracy and detail.Collaborate closely with fellow experts and team leads, providing clear feedback and updates.Troubleshoot and resolve technical issues related to recording and data capture workflows.Ensure all data files are securely stored, cataloged, and transferred according to project guidelines.Maintain regular, timely communication in both written and verbal formats with the customer's remote team.Meet project deadlines, maintaining flexibility to adapt to evolving requirements.Required Skills and QualificationsProven passion and experience with AAA games, with access to the specific titles required for the project.Strong gameplay proficiency and ability to follow capture instructions precisely.Excellent verbal and written communication—clear, prompt, and detail-oriented.Well-equipped computer capable of running and recording high-end AAA games without performance issues.Experience using gameplay recording or data capture tools (industry or proprietary experience is a plus).Self-motivated, disciplined, and reliable in a remote work environment.Strong problem-solving skills and adaptability in fast-paced or changing scenarios.Mandatory Requirement: You must own a high-end gaming PC that can run the latest AAA games at high resolutions smoothly.Preferred QualificationsPrevious experience in gameplay QA, playtesting, or data capture roles.Familiarity with video editing or data annotation tools.Experience working with geographically distributed teams.We are onboarding five experts early next week (Mon-Tue)—join a select group driving the next generation of gaming insights!
About Micro1: Job Type: ContractorLocation: Remote – experts based in Alabama, Arkansas, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Mississippi, Montana, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Utah, Virginia, West Virginia, and Wisconsin.Job SummaryIn this role, you'll use your hands-on gardening and outdoor maintenance experience to help train next-generation AI systems. You'll record yourself performing everyday garden tasks — planting, pruning, mowing, watering, and more — using your smartphone. No prior AI experience needed; your outdoor expertise is what matters.[Link to video]Key ResponsibilitiesCapture motion data using your smartphone while performing gardening and grounds maintenance tasks (e.g. planting, weeding, pruning, mowing, watering, raking).Record synchronized video footage following detailed technical protocols to ensure quality, labeling, and accuracy standards are met.Supported devices: iPhone 12 and later, Google Pixel 6 and later, Samsung Galaxy S21 and later.Contribute a minimum of 10 hours of approved video data per week throughout the project.Communicate with the team to clarify guidelines and share feedback on the data collection process.Deliver outputs reliably and on time in line with project milestones.Complete required device compatibility checks and a custom AI-enabled interview.Required Skills and QualificationsActive experience in gardening, landscaping, grounds maintenance, or horticulture (residential or commercial).Access to a head strap to record hands-free within 48 hours of start date.Ability to follow detailed step-by-step protocols consistently.Reliable and self-directed — comfortable managing your own schedule and output.Strong written and verbal communication skills for remote collaboration.Comfortable with smartphones and everyday mobile apps.Physical ability to perform repetitive outdoor tasks safely.Access to a compatible smartphone (see supported devices above).Eligible to work in the designated U.S. states listed above.Gmail address strongly preferred for seamless tool integration.CompensationCompensation is output-based; experts are paid per recorded video that meets the project specifications.Start Timeline & AvailabilityWe typically fill roles within 48 hours. If selected, we'd love for you to start as soon as you move forward with your application. Expect to begin within ~24 hours of completing onboarding.Equipment RequirementsTasks must be performed from a smartphone using a head-mounted camera (head strap setup). Specifications shared during onboarding.
Attention to detail
Video recording
About Micro1: Data-Video Generalist – Caregiver Task RecorderJob Type: ContractorLocation: Remote – experts based in Alabama, Arkansas, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Mississippi, Montana, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Utah, Virginia, West Virginia, and Wisconsin.Job SummaryIn this role, you'll use your everyday childcare and caregiving experience to help train next-generation AI systems. You'll record yourself performing routine caregiving tasks — feeding, play, supervised activities, and more — using your smartphone. No prior AI experience needed; your hands-on caregiving background is what matters.[Link to video]Key ResponsibilitiesCapture motion data using your smartphone while performing everyday caregiving tasks (e.g. feeding, playtime, supervised activities, household routines with children).Record synchronized video footage following detailed technical protocols to ensure quality, labeling, and accuracy standards are met.Supported devices: iPhone 12 and later, Google Pixel 6 and later, Samsung Galaxy S21 and later.Contribute a minimum of 10 hours of approved video data per week throughout the project.Communicate with the team to clarify guidelines and share feedback on the data collection process.Deliver outputs reliably and on time in line with project milestones.Complete required device compatibility checks and a custom AI-enabled interview.Required Skills and QualificationsCurrent or recent experience as a nanny, au pair, childcare provider, or caregiver.Access to a head strap to record hands-free within 48 hours of start date.Ability to follow detailed step-by-step protocols consistently.Reliable and self-directed — comfortable managing your own schedule and output.Strong written and verbal communication skills for remote collaboration.Comfortable with smartphones and everyday mobile apps.Physical ability to perform repetitive caregiving tasks safely.Access to a compatible smartphone (see supported devices above).Eligible to work in the designated U.S. states listed above.Gmail address strongly preferred for seamless tool integration.CompensationCompensation is output-based; experts are paid per recorded video that meets the project specifications.Start Timeline & AvailabilityWe typically fill roles within 48 hours. If selected, we'd love for you to start as soon as you move forward with your application. Expect to begin within ~24 hours of completing onboarding.Equipment RequirementsTasks must be performed from a smartphone using a head-mounted camera (head strap setup). Specifications shared during onboarding.
Attention to detail
Video recording
About Turing: About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&LRole Overview: We’re looking for a ML Developer to drive the design, development, and delivery of advanced machine learning solutions. The ideal candidate is not just a strong individual contributor but also a technical leader capable of setting direction, mentoring team members, and ensuring that ML initiatives align with business goals. Competitive ML experience (e.g., Kaggle, benchmarks) is a strong plus.What does day-to-day look like: Own end-to-end DS/ML solution development — from data pipelines and model design to deployment and monitoring. Translate business objectives into robust ML architectures that accurately capture business logic and context. Collaborate cross-functionally with Product, Engineering, and Business stakeholders to define problem statements and success metrics. Evaluate and optimize models for performance, scalability, and accuracy using state-of-the-art techniques. Stay current with advancements in AI/ML research and apply relevant innovations to improve outcomesRequired Qualifications: Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, Statistics, or a related quantitative field. 4+ years of hands-on DS/ML development experience, Proficiency in key DS/ML areas and frameworks:Supervised and Unsupervised Learning Time-Series Forecasting Natural Language Processing (NLP) Computer Vision (CV) Statistical Modeling and Inference Expertise in Python and core libraries (Pandas, NumPy, Scikit-learn, etc.). Ability to understand and apply different models to real-world use cases Strong understanding of data preprocessing, feature engineering, model tuning, and evaluation metrics. Proven ability to design scalable, production-grade ML systems.Preferred Qualifications: Proven expertise in Deep learning (e.g., convolutional neural networks, recurrent neural networks, transformers). Experience with cloud data platforms (Databricks, AWS, etc.) Hands-on experience with PySpark and Databricks Platform Stay up-to-date with the latest advancements in machine learning and artificial intelligence.Bonus: Experience and knowledge in Kaggle competitions and Benchmarks, such as MLEBench Experimenting with new technologies and frameworks based on Research papers published in top conferences and journalsPerks of Freelancing With Turing: Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.Offer Details: Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type : Contractor assignment (no medical/paid leave) Duration of contract : 3 month; [expected start date is next week] Location : India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, MexicoEvaluation Process (approximately 75 mins) : Two rounds of interviews as follows:Interview 1: Technical, 60 mins Interview 2: Onboarding & cultural discussion, 15 mins
Python
Python for Data Science
Machine Learning
+6 more