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About Micro1: Job DescriptionRole Title: App Security ExpertRole Type: ContractorLocation: Remotemicro1 is engaging App Security Experts to contribute to a customer’s dynamic project focused on real-world application security. 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 implement small, purpose-built application fixtures with embedded security vulnerabilities or secure solutions, specifically addressing OWASP LLM risks such as Sensitive Information Disclosure and Excessive Agency.Develop deterministic test cases and security-context manifests to robustly assess application security posture.Create detailed hidden answer keys to enable accurate AI or scanner evaluation of vulnerable versus secure code.Evaluate and iterate on pipeline methodologies to ensure synthetic tasks and fixtures are challenging yet realistic for AppSec assessment.Document technical insights and methodologies, ensuring clarity in written feedback and communication.Collaborate through clear and thorough written and verbal communication to share findings and review peer contributions.Engage with agent-based security architecture and contribute to continuous improvement of the evaluation pipeline.Preferred QualificationsExtensive experience (ideally 5+ years) in application security, secure software development, or CyberSWE roles.Strong understanding of OSWE, LLM security, AI-powered static analysis (AI-SAST), and AppSec best practices.Proven track record designing or evaluating security architecture for traditional and agent-based applications.Expertise in building, securing, and testing application codebases, including identifying and remediating advanced vulnerabilities.Exceptional written and verbal communication skills, with a focus on precise technical documentation and collaborative feedback.Experience with synthetic security fixtures and deterministic testing approaches is highly desirable.Demonstrated ability to deliver thoughtful insights and actionable security recommendations in a remote contribution context.

About Micro1: Job DescriptionRole Title: English Voice RecordingRole Type: ContractorLocation: Remote (U.S.-based only) Opportunity SnapshotPay: $20 - 70/hourProject kickoff: Monday, October 19thYou’ll need: A quiet room with no background noise, a reliable internet connection, and a smartphone or computer that can record clear audioYour tasks: Read provided English text aloud, record it following detailed guidelines, and submit clean audio filesmicro1 is engaging native and near-native English speakers for a read-aloud speech recording project. The work is straightforward: you’ll be given English text, you read it aloud following clear guidelines, and you submit the recording. Your voice helps train next-generation AI speech systems. No prior AI experience is required — clear speech and careful attention to instructions are what matter.Scope of WorkRead provided English prompts aloud, accurately and naturally, following the pronunciation and pacing guidelines.Follow the instructions for each prompt exactly — including reading answer choices when the task asks for it — without adding your own responses or interpretations.Record and submit clear audio files using the tools or platform provided.Keep your delivery consistent across sessions: same clarity, same enunciation, same pace.Re-record and resubmit when a take doesn’t meet the quality standard.Flag prompts that are unclear, ambiguous, or have technical problems instead of guessing how to read them.Stay in touch with project coordinators to align on quality expectations.Preferred QualificationsNative or near-native English speaker, with clear and natural spoken delivery.Able to read written text aloud smoothly, without stumbling or flattening it into a monotone.Strong attention to detail and the discipline to follow instructions exactly, every time.Access to a consistently quiet space for recording.Reliable internet connection.Comfortable working independently and submitting on schedule.Experience with voice work, audiobook narration, voiceover, or audio recording tools is a plus, but not required.How the selection process worksApply and complete the screening questionsComplete the AI interviewFill out a formProfile reviewOnboarding — our Talent Ops team will get you set up.

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.