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micro1 is engaging Investment Banking Associates to contribute domain-specific expertise to a customer’s high-impact 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. Scope of Work 1. Evaluate and annotate complex financial materials, transaction documents, and case studies to enrich AI learning datasets. 2. Draft, review, and edit project deliverables including pitchbooks, valuation models, and market analysis summaries for accuracy and clarity. 3. Simulate and document real-world investment scenarios to improve model understanding of industry practices and deal processes. 4. Provide detailed, written feedback on AI-generated financial content with a focus on precision, relevance, and professionalism. 5. Curate and synthesize financial data to support scenario creation and decision-making exercises within the project scope. 6. Identify and communicate nuanced industry concepts and terminology essential to authentic investment banking operations. 7. Collaborate virtually with project coordinators to ensure deliverables align with project guidelines and client expectations. Preferred Qualifications 1. Current or recent experience as an Investment Banking Associate (any level) or Analyst (2nd year+), or equivalent role within Sales & Trading. 2. Demonstrated expertise in financial modeling, valuation, and deal execution processes. 3. Excellent written and verbal communication skills with an emphasis on clarity and detail. 4. Proven ability to interpret and analyze financial statements, transaction documents, and market data. 5. Strong attention to detail and ability to provide constructive, actionable feedback on complex materials. 6. Ability to work independently and manage multiple deliverables within defined project milestones. 7. Familiarity with industry-standard documentation, regulatory considerations, and deal structuring nuances.

micro1

Hardware Expert (MSc. or PhD)

micro1STEM / Software & Coding10 days ago

$60-$120/hr

Worldwide

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About this role

Hardware Expert (MSc. or PhD) Pay: $60–$120/hour Location: Global, fully remote Job Type: Contractor (~15 hours per week) Schedule: Flexible—you choose the hours and days you work, including weekends if desired micro1 is engaging experienced Hardware Engineers to contribute to AI training projects built around complex, real-world engineering problems. In this role, you will use your technical expertise to create, solve, and evaluate engineering challenges that require sound judgment, quantitative reasoning, and reproducible answers. We are looking for engineers who have personally owned meaningful technical work—such as taking a hardware system into production, validating a model against test data, developing a rigorous verification approach, or diagnosing a difficult failure. We value engineers who can connect first-principles reasoning with practical constraints and produce work that can be independently verified. Scope of Work 1. Create technically rigorous, self-contained hardware engineering problems based on realistic industry or research scenarios. 2. Develop clear reference solutions using engineering calculations, simulations, scripts, experimental reasoning, or other appropriate methods. 3. Use tools such as Python, MATLAB, Simulink, SPICE, Julia, C/C++, test automation platforms, or equivalent engineering software to validate results when relevant. Preferred Qualifications 1. Bachelor’s, Master’s, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related field. 2. Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis. 3. Demonstrated ownership of a substantial engineering problem—for example, a product or subsystem that reached production, a model validated against physical testing, a test system you developed, or a difficult failure you diagnosed. 4. Experience working with Coding Agents is a must Process 1. Apply to the role and complete the screening questions. 2. Complete an AI interview of approximately 30 minutes. 3. Complete the hiring manager review. Compensation Structure Compensation 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 & Availability We 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.

micro1

ML Engineer (MSc. or PhD)

micro1Data & Analytics / STEM / Software & Coding10 days ago

$60-$120/hr

Worldwide

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Senior ML Engineer (MSc. or PhD) Pay: $60–$120/hour Location: Global, fully remote Job Type: Contractor (~15 hours per week) Schedule: Flexible—you choose the hours and days you work, including weekends if desired We are looking for highly skilled Machine Learning Experts to contribute to an AI training project involving model development, training and inference systems, numerical computing, performance optimization, and Python. The work involves creating, solving, reviewing, and validating challenging machine-learning engineering tasks. A representative task may require implementing or modifying a model, constructing a reproducible training or inference workflow, optimizing memory or throughput, debugging numerical or system-level failures, and verifying that the resulting implementation satisfies objective correctness and performance requirements. This is a very coding heavy role. Candidates but have experience using coding agents with python in their workflow. What You’ll Work On 1. Develop and validate machine-learning models, training pipelines, inference systems, and supporting infrastructure. 2. Implement model components, data pipelines, evaluation systems, and numerical methods. 3. Build reproducible programmatic workflows using Python and command-line tools. Required Qualifications 1. A master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. 2. Strong professional or research experience in machine learning. 3. Practical proficiency with Python and coding agents. Equivalent tools may also be considered when the candidate demonstrates directly relevant depth. Experience at a well-established technology company, AI laboratory, research organization, or other recognized engineering environment is strongly preferred. Exceptional open-source or academic experience may also qualify. Process 1. Apply to the role and complete the screening questions. 2. Complete an AI interview of approximately 30 minutes. 3. Complete the hiring manager review. Compensation Structure Compensation 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 & Availability 1. We 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.

micro1

AI Product Evaluator

micro110 days ago

$14-$36/hr

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Mercor

Senior Character Animator

MercorDesign & Creative10 days ago

$60-$90/hr

Not specified

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Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models. 1. Overview A leading AI lab is building a performance transfer model: one that takes an actor's original performance and carries it faithfully into a new output, keeping the timing, the emotion and the small physical choices that make it feel real. We're looking for senior character animators who have spent their careers bringing acting to life on feature films, VFX and games, to help define what a well transferred performance looks like and judge where the model gets it right or wrong. This is a part-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce. 2. Key Responsibilities - Set the quality bar: Define clear standards for when a performance has been carried over well, in body mechanics, facial nuance, timing and emotional intent, and point out where current evaluations fall short. - Critique model outputs: Review generated performances shot by shot, the way you would in dailies, and write precise, actionable notes. - Build benchmarks: Choose reference performances that range from easy to genuinely hard to capture, so the model is tested on what matters. - Shape the reviewer pool: Help define the profile, rubric and calibration for the human reviewers who score outputs at scale. - Collaborate with other experts to keep evaluations consistent and accurate. 3. Core Qualifications - 10+ years as a hands-on character animator focused on human and character acting, at Senior, Lead or Principal level. - Animator credits on several feature films, VFX features or AAA game cinematics at recognized studios (e.g., Sony Pictures Imageworks, ILM, Animal Logic, Laika, Pixar, Disney, DreamWorks, Framestore, MPC, DNEG, Weta FX). - A sharp eye for micro expressions, lip sync, weight and timing, and the small acting choices that make a performance feel authentic. - Strongly preferred: facial animation experience, and recent work in real-time engines (Unreal or Unity), VR/XR, or performance capture pipelines. - Hands-on use of generative image and video tools (e.g., Sora, Veo, Midjourney, Runway, Kling) to create your own samples for testing and comparison. - Able to work on-site in Playa Vista (Los Angeles), CA or New York, NY for in-person working sessions once or twice a month. - Strong written communication and the ability to turn visual detail into clear, precise language for evaluation templates. About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

micro1

Aerodynamics Expert (MSc. or PhD)

micro1Software & Coding10 days ago

$80-$120/hr

Worldwide

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Aerodynamics Expert (MSc. or PhD) Pay: $80–$120/hour Location: Global, fully remote Job Type: Contractor (~15 hours per week) Schedule: Flexible—you can choose the hours and days you work, including weekends if desired We 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 On 1. Solve and validate aerodynamic and fluid-dynamics problems. 2. Translate physical requirements into computational models and solver-ready cases. 3. Create or modify geometries, computational domains, and meshes. 4. Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings. 5. Run CFD and aerodynamic-analysis workflows using command-line-accessible tools. 6. Use Python to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation. Required Qualifications 1. An MS or PhD in Aerospace Engineering, or Mechanical Engineering with an aerodynamics, fluid dynamics, or thermofluids specialization; or 2. A BS in Aerospace or Mechanical Engineering plus at least 1–2 years of aero-specific professional or research experience. 3. Strong understanding of fluid mechanics and applied aerodynamics. 4. Experience formulating and executing CFD or aerodynamic analyses. 5. Practical proficiency with Python. 6. Experience with at least one engineering tool or library that can be operated through a CLI, scripting interface, configuration files, or programmatic API. 7. Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings. 8. Ability to diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs. 9. 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. Process 1. Apply to the role and complete the screening questions. 2. Complete an AI interview of approximately 30 minutes. 3. Complete the hiring manager review. Compensation Structure Compensation 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 & Availability 1. We 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.

micro1

STEM Expert – Biology & Bioinformatics (PhD)

micro1STEM / Software & Coding10 days ago

$45-$90/hr

Worldwide

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About this role

Job Title: STEM Expert – Biology & Bioinformatics (PhD) Job Type: Contractor Location: Remote(Worldwide) Job 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: 1. Design, evaluate, and critique biology, bioinformatics, and computational biology workflows to support AI benchmarking initiatives. 2. Provide expert-level insights on genomic, transcriptomic, proteomic, and other biological data analysis pipelines. 3. Assess and optimize pipeline parameters, tool configurations, and statistical methods for accuracy and reproducibility. 4. Analyze biological datasets (e.g., NGS, RNA-seq, single-cell, variant calling, protein structure) and provide actionable recommendations. 5. Leverage domain knowledge to guide the development and validation of biology-related AI models and tools. 6. Communicate complex scientific concepts clearly, both in writing and verbally, to technical and non-technical collaborators. 7. Document findings, methodologies, and best practices to ensure knowledge transfer across the customer’s team. Areas of Expertise (we welcome applicants from any of the following): 1. Genomics & NGS analysis 2. Transcriptomics & single-cell analysis 3. Proteomics & structural biology 4. Molecular & cell biology 5. Systems biology & biological network analysis 6. Drug discovery & computational pharmacology 7. Biostatistics & machine learning applied to biology Required Skills and Qualifications: 1. PhD in biology, bioinformatics, computational biology, genomics, or a closely related STEM field, or equivalent industry/research experience. 2. Professional written and spoken English (C1 or higher). 3. Deep expertise in at least one of the areas listed above, with hands-on experience analyzing real biological data. 4. Proficiency in Python and/or R for scientific analysis, plus experience with standard tools in your subfield (e.g., BLAST, samtools, GATK, Bioconductor, Biopython). 5. Strong statistical, quantitative, and analytical reasoning skills. 6. Outstanding written and verbal communication abilities, with the ability to clearly document and explain technical concepts. 7. Track record of rigorous scientific problem-solving in complex biological domains. Preferred Qualifications: 1. Experience building reproducible workflows (Nextflow, Snakemake) and working in Linux/command-line environments. 2. Experience with AI/ML-assisted biology workflows or benchmarking. 3. Peer-reviewed publications, patents, or contributions to open-source bioinformatics software.

micro1

PhysioNet Competitor (Biomedical Signal Processing & ML)

micro1Healthcare / Software & Coding10 days ago

$60-$120/hr

Worldwide

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Role Title: PhysioNet Competitor (Biomedical Signal Processing & ML) Pay: $60–$120/hour Location: Global, fully remote Job Type: Contractor (~15 hours per week) Schedule: Flexible-you choose the hours and days you work, including weekends if desired micro1 is engaging specialists with experience in the PhysioNet Challenge or comparable biomedical signal processing and machine learning competitions. In this role, you will apply your scientific programming, signal processing, and modeling expertise to create, solve, and evaluate advanced technical problems that help improve next-generation AI systems. We are looking for people who have worked directly with physiological signals and can turn noisy, real-world data into a rigorous and reproducible analysis. Strong candidates will be able to explain the methods they developed, the experiments they ran, the technical decisions they personally owned, and how they validated their results. No prior experience working on AI training projects is required. Scope of Work 1. Create technically rigorous, self-contained problems involving biomedical signals, time-series data, signal processing, and machine learning. 2. Develop clear reference solutions using Python, MATLAB, or another appropriate scientific computing environment. 3. Work with tasks involving signal preprocessing, filtering, segmentation, feature extraction, representation learning, classification, or forecasting. Preferred Qualifications 1. Participation in a PhysioNet/Computing in Cardiology Challenge or a comparable biomedical signal processing or scientific machine learning competition. 2. Strong competition results and evidence of a substantive personal technical contribution. 3. Public evidence of your work through an official team result, conference paper, technical report, open-source repository, or meaningful code contribution. 4. Hands-on experience with physiological signals such as ECG, EEG, PPG, EMG, respiratory signals, polysomnography, or other clinical time-series data. Process 1. Apply to the role and complete the screening questions. 2. Complete an AI interview of approximately 30 minutes. 3. Complete the hiring manager review. Compensation Structure Compensation 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 & Availability 1. We 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.

micro1

STEM Expert (MSc./PhD)

micro1STEM / Software & Coding10 days ago

$60-$120/hr

Worldwide

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STEM Expert Pay: $60–$120/hour Location: Global, fully remote Job Type: Contractor (~15 hours per week) Schedule: Flexible—you choose the hours and days you work, including weekends if desired We 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: 1. Chemistry 2. Biology 3. Mathematics 4. Physics 5. Earth Science / Geoscience / Environmental Science 6. Robotics Adjacent scientific or quantitative disciplines may also be considered where the candidate's expertise is directly relevant. What You’ll Work On 1. Solve complex scientific, mathematical, or technical problems within your domain of expertise. 2. Review AI-generated solutions for factual, mathematical, and scientific correctness. 3. Identify incorrect assumptions, reasoning errors, missing constraints, and subtle technical mistakes. Required Qualifications 1. Strong expertise in at least one relevant STEM or scientific domain. 2. Practical proficiency with Python or other coding languages. 3. 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. Process 1. Apply to the role and complete the screening questions. 2. Complete an AI interview of approximately 30 minutes. 3. Complete the hiring manager review. Compensation Structure Compensation 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 & Availability We 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.

micro1

Puzzle Solver (Coding)

micro1Software & Coding10 days ago

$60-$120/hr

Worldwide

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Puzzle Solver (Coding) Pay: $60–$120/hour Location: Global, fully remote Job Type: Contractor (~15 hours per week) Schedule: Flexible—you choose the hours and days you work, including weekends if desired We are looking for highly skilled competitive puzzle solvers to contribute to an AI training project involving algorithmic reasoning, debugging, constrained technical problems, and reproducible software solutions. The work involves solving self-contained coding and technical challenges designed to test the capabilities of advanced AI models. A representative task may require exploring an unfamiliar codebase or terminal environment, understanding a precise objective, implementing a solution, testing it against hidden or explicit constraints, and producing a reproducible final result. What You’ll Work On 1. Solve self-contained coding, logic, debugging, and technical reasoning challenges. 2. Analyze unfamiliar problems and translate their requirements into implementable solutions. 3. Select appropriate algorithms, data structures, and problem-solving strategies. Required Qualifications 1. A Codeforces profife is a must 2. Strong understanding of common data structures and algorithms. 3. Ability to reason carefully about constraints, complexity, edge cases, and correctness. 4. Experience debugging unfamiliar code or solving technically ambiguous problems. A public or otherwise verifiable Codeforces profile demonstrating meaningful competitive-programming experience is nice to have. Process 1. Apply to the role and complete the screening questions. 2. Complete an AI interview of approximately 30 minutes. 3. Complete the hiring manager review. Compensation Structure Compensation 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 & Availability 1. We 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.

micro1

US-Licensed Physician

micro1Healthcare10 days ago

$80-$125/hr

United States

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