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About Micro1: Job DescriptionRole Title: QA EngineerRole Type: ContractorLocation: Remotemicro1 is engaging QA Engineers to contribute to an AI training project with a forward-thinking 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 ideal for those passionate about quality assurance and eager to be at the forefront of AI innovation, with a focus on data integrity, annotation, and comprehensive model evaluation.Scope of WorkDesign, execute, and document test cases and scenarios to validate AI outputs against defined requirements.Review, annotate, and label data sets to enhance machine learning model training accuracy.Evaluate, analyze, and report on model predictions, identifying inconsistencies, errors, or patterns for continuous improvement.Collaborate with cross-functional teams to communicate findings, raise questions, and clarify project requirements.Contribute to the development and refinement of testing methodologies specific to AI-driven systems.Maintain detailed, organized records of evaluations, test results, and feedback through written documentation.Provide actionable recommendations to optimize data quality and model performance.Preferred QualificationsHands-on expertise in software quality assurance, with a strong understanding of test planning and defect reporting.Prior experience with data labeling, annotation, reinforcement learning from human feedback (RLHF), or model evaluation.Proficiency in English at B2 level or above for effective collaboration and reporting.

About Micro1: Job DescriptionSenior ML Engineer (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 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 OnDevelop and validate machine-learning models, training pipelines, inference systems, and supporting infrastructure.Implement model components, data pipelines, evaluation systems, and numerical methods.Build reproducible programmatic workflows using Python and command-line tools.Required QualificationsA master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline.Strong professional or research experience in machine learning.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.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 DescriptionHardware 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 desiredmicro1 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 WorkCreate technically rigorous, self-contained hardware engineering problems based on realistic industry or research scenarios.Develop clear reference solutions using engineering calculations, simulations, scripts, experimental reasoning, or other appropriate methods.Use tools such as Python, MATLAB, Simulink, SPICE, Julia, C/C++, test automation platforms, or equivalent engineering software to validate results when relevant.Preferred QualificationsBachelor’s, Master’s, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related field.Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis.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.Experience working with Coding Agents is a mustProcessApply 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: Investment Banking AssociateRole Type: ContractorLocation: Remotemicro1 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 WorkEvaluate and annotate complex financial materials, transaction documents, and case studies to enrich AI learning datasets.Draft, review, and edit project deliverables including pitchbooks, valuation models, and market analysis summaries for accuracy and clarity.Simulate and document real-world investment scenarios to improve model understanding of industry practices and deal processes.Provide detailed, written feedback on AI-generated financial content with a focus on precision, relevance, and professionalism.Curate and synthesize financial data to support scenario creation and decision-making exercises within the project scope.Identify and communicate nuanced industry concepts and terminology essential to authentic investment banking operations.Collaborate virtually with project coordinators to ensure deliverables align with project guidelines and client expectations.Preferred QualificationsCurrent or recent experience as an Investment Banking Associate (any level) or Analyst (2nd year+), or equivalent role within Sales & Trading.Demonstrated expertise in financial modeling, valuation, and deal execution processes.Excellent written and verbal communication skills with an emphasis on clarity and detail.Proven ability to interpret and analyze financial statements, transaction documents, and market data.Strong attention to detail and ability to provide constructive, actionable feedback on complex materials.Ability to work independently and manage multiple deliverables within defined project milestones.Familiarity with industry-standard documentation, regulatory considerations, and deal structuring nuances.

About Terac: Overview: For Pre-contacted Brazilian participants (18+)Availability: 99+ spots leftCompensation: $0Referral Reward: Earn up to $0 per person you refer.Referral Link: https://terac.com/refer/8c32062d?opp=pre_contacted_participants_brazil_video_recording_studyAbout Platform: Opportunity detail panel Who to refer: Pre-contacted Brazilian participants (18+) Know someone in Brazil who has been reached out to by our local project leads Leticia or Lucas?