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About Turing: About Turing:Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems.Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.Role Overview:We are looking for candidates with strong analytical and English comprehension skills. The ideal candidate should have the ability to read, summarize, and break down large content into smaller logical blocks, conduct research online, validate claims made in the content through online research, and work with the LLM (Large Language Models) to solve puzzles!Your role is critical in helping fine-tune and improve large language models (like gpt), and will make you an expert on how to leverage AI to be a better analyst. This is your chance to future-proof your career in an AI-first world!What does day-to-day look like:You would spend time answering a variety of interesting analytical questions and creating scenarios that can train the LLM models to get better. Here are a couple of examples which models might get wrong and you would have to give the correct answer and explanation to enable the models to learn: Based on a given distribution of sales by month across locations, could you analyze which location has grown the most? (Hint: what time period should we look at? should we account for sudden variability at the beginning?) In a small town, there are four distinct neighborhoods: Oak, Pine, Maple, and Elm. A postman is assigned to deliver mail and can only deliver to two neighborhoods in one day, with certain rules (e.g. Oak is always visited before Pine). If he delivers to Oak and Elm on the first day, which neighborhoods does the carrier deliver to on the second day?Note: No other prior specialized domain experience is needed.Requirements: Multilingual capabilities are mandatory. (English and French) Analytical Skills: Good research and analytical skills Feedback Skills: Ability to provide constructive feedback and detailed annotations. Creative Thinking: Creative and lateral thinking abilities. Communication: Excellent communication and collaboration skills. Independence: Self-motivated and able to work independently in a remote setting. Commitment: Ability to commit to 40 hours per week for the contract duration overlapping US hours. Technical Setup: Desktop/Laptop set up with a good internet connection.Preferred Qualifications: Bachelors degree or undergraduate in Engineering, Literature, Journalism, Communications, Arts, Statistics, or a related field. We are open to candidates who do not have a Bachelor's degree but have experience in the area. Experience writing professionally (business analysts, research analyst, copywriter, journalist, technical writer, editor, translator, etc.) Understanding of Excel and Google Suite. Proficiency in Data interpretation, Logical reasoning and Basic arithmetic is highly desirable.Benefits: Competitive compensation based on experience and expertise. Flexible working hours and remote work environment. Opportunity to work on cutting-edge AI projects with leading LLM companies. Potential for contract extension based on performance and project needs.Offer Details: Commitments Required : at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Engagement type  : Contractor assignment/freelancer (no medical/paid leave) Duration of contract : 2 months This role will require some overlap with UTC-8:00 (2-5 hrs/day) America/Los_AngelesApplication Process: Shortlisted candidates will be sent an automated analytical challenge. Once you clear the challenge, you will be redirected to a business writing assessment (English) followed by a language proficiency assessment. Once you clear these online assessments, you are ready to go!

About Micro1: Job DescriptionSTEM ExpertPay: $60–$120/hourLocation: Global, fully remoteJob Type: Contractor (~15 hours per week)Schedule: Flexible—you choose the hours and days you work, including weekends if desiredWe are looking for highly skilled STEM and scientific-domain experts to contribute to an AI training project involving technical problem-solving, scientific reasoning, data analysis, and Python.The work involves solving, reviewing, and validating challenging problems within your area of expertise. A representative task may require analyzing a scientific or mathematical problem, developing a rigorous solution, using Python to perform calculations or simulations, and evaluating whether an AI-generated answer is technically correct.This is a very coding heavy role. Candidates but have experience using coding agents in their workflow.Candidates are not expected to be experts across every STEM discipline. We are looking for deep expertise in at least one of the following areas:ChemistryBiologyMathematicsPhysicsEarth Science / Geoscience / Environmental ScienceRoboticsAdjacent scientific or quantitative disciplines may also be considered where the candidate's expertise is directly relevant.What You’ll Work OnSolve complex scientific, mathematical, or technical problems within your domain of expertise.Review AI-generated solutions for factual, mathematical, and scientific correctness.Identify incorrect assumptions, reasoning errors, missing constraints, and subtle technical mistakes.Required QualificationsStrong expertise in at least one relevant STEM or scientific domain.Practical proficiency with Python or other coding languages.Strong scientific, mathematical, or quantitative problem-solving ability.Relevant Python tools may include NumPy, SciPy, pandas, SymPy, Jupyter, or domain-specific scientific libraries. No particular Python library is mandatory.Expertise may come from academic research, industry, teaching, engineering, independent technical work, or other demonstrated experience. A specific degree or number of years of experience is not strictly required if you can demonstrate strong expertise in your field.ProcessApply to the role and complete the screening questions.Complete an AI interview of approximately 30 minutes.Complete the hiring manager review.Compensation StructureCompensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.Minimum submission requirements apply.Start Timeline & AvailabilityWe typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.

About Micro1: Job DescriptionAerodynamics Expert (MSc. or PhD)Pay: $80–$120/hourLocation: Global, fully remoteJob Type: Contractor (~15 hours per week)Schedule: Flexible—you can choose the hours and days you work, including weekends if desiredWe are looking for a highly skilled Aerodynamics Expert to contribute to an AI training project involving computational fluid dynamics, aerodynamic analysis, engineering simulation, and Python.The work involves creating, solving, reviewing, and validating engineering tasks that can be completed through programmatic, command-line-based workflows. A representative task may require analyzing an airfoil, preparing a computational domain and mesh, defining appropriate boundary conditions, running a CFD simulation, calculating lift and drag, and determining whether the resulting flow field is numerically and physically valid.What You’ll Work OnSolve and validate aerodynamic and fluid-dynamics problems.Translate physical requirements into computational models and solver-ready cases.Create or modify geometries, computational domains, and meshes.Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings.Run CFD and aerodynamic-analysis workflows using command-line-accessible tools.Use Python to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation.Required QualificationsAn MS or PhD in Aerospace Engineering, or Mechanical Engineering with an aerodynamics, fluid dynamics, or thermofluids specialization; orA BS in Aerospace or Mechanical Engineering plus at least 1–2 years of aero-specific professional or research experience.Strong understanding of fluid mechanics and applied aerodynamics.Experience formulating and executing CFD or aerodynamic analyses.Practical proficiency with Python.Experience with at least one engineering tool or library that can be operated through a CLI, scripting interface, configuration files, or programmatic API.Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings.Ability to diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs.Ability to communicate technical reasoning and engineering trade-offs clearly.Relevant tools may include Python, OpenFOAM, SU2, Gmsh, FEniCSx, Elmer, CalculiX, SciPy, or similar programmatic engineering software. Experience with an equivalent CLI-accessible tool is acceptable.Relevant Python tools may include NumPy, SciPy, pandas, Matplotlib, Jupyter, solver APIs, mesh-processing libraries, or domain-specific scientific packages. No single library is mandatory.ProcessApply to the role and complete the screening questions.Complete an AI interview of approximately 30 minutes.Complete the hiring manager review.Compensation StructureCompensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.Minimum submission requirements apply.Start Timeline & AvailabilityWe typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.

About Micro1: Job DescriptionMechanical Engineering Expert (MSc. or PhD)Pay: $60–$120/hourLocation: Global, fully remoteJob Type: Contractor (~15 hours per week)Schedule: Flexible—you choose the hours and days you work, including weekends if desiredWe are looking for a highly skilled Mechanical Engineering Expert to contribute to an AI training project involving engineering design, physical modeling, simulation, technical problem-solving, and Python.The work involves creating, solving, reviewing, and validating engineering tasks across structural, thermal, mechanical, and multiphysics domains. A representative task may require translating physical requirements into a computational model, generating the required geometry or mesh, applying materials and boundary conditions, running an engineering simulation, and determining whether the resulting artifact and analysis satisfy the applicable physical and design constraints.This is a very coding heavy role. Candidates must have experience using coding agents in their workflow.What You’ll Work OnSolve and validate mechanical-engineering problems involving design, analysis, simulation, testing, or R&D.Translate physical systems and engineering requirements into analytical or computational models.Create or modify geometry, meshes, materials, loads, contacts, constraints, and solver inputs.Required QualificationsAn MS or PhD in Mechanical Engineering or a closely related engineering discipline; orStrong understanding of applied mechanics and mechanical-engineering fundamentals.Experience developing analytical, computational, or simulation-based engineering solutions.Practical proficiency with coding agents.ProcessApply to the role and complete the screening questions.Complete an AI interview of approximately 30 minutes.Complete the hiring manager review.Compensation StructureCompensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.Minimum submission requirements apply.Start Timeline & AvailabilityWe typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.

About Micro1: Job DescriptionRole Title: Bilingual Mental Health Expert Role Type: ContractorLocation: Remotemicro1 is engaging bilingual mental health experts to contribute to a customer’s project focused on enhancing AI systems with nuanced expertise. 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 evaluate AI-generated psychological content for accuracy, relevance, and ethical standards.Develop and review data sets involving psychological case studies, assessments, and conversations for AI system training.Craft detailed written feedback and verbal insights to refine AI responses in contexts such as clinical scenarios, research vignettes, and therapeutic dialogues.Identify potential biases or inaccuracies within AI-generated outputs and propose evidence-based improvements.Collaborate with multidisciplinary teams to integrate psychological concepts and frameworks into AI model training processes.Ensure adherence to cultural, linguistic, and clinical best practices for diverse user scenarios.Contribute to documentation and knowledge-sharing resources that guide ongoing AI development.Preferred QualificationsCompleted Ph.D in Psychology or MD with completed psychiatry residency.Native proficiency in at least one of: French, Malay, Russian, Mandarin, Japanese, Urdu, Swahili, Bulgarian, Tagalog, Polish, Marathi, Lithuanian, Georgian, Bengali, Vietnamese, or Indonesian, plus advanced English communication skills.Demonstrated ability to communicate complex psychological concepts clearly in both written and verbal formats.Experience in clinical practice, research, or higher education in psychology or psychiatry.Strong analytical and evaluative skills to assess psychological data and narrative content.Awareness of cultural sensitivity and ethical considerations in global mental health contexts.Previous experience collaborating on interdisciplinary or technology-driven projects is a plus.