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About Micro1: Job Title: Electronics Expert - DesignSpark PCB Job Type: Contractor Location: Remote Job Summary: As a Electronics Expert - DesignSpark PCB , 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 Responsibilities:Leverage your advanced proficiency in DesignSpark PCB to analyze and evaluate real-world electronic designs.Create, review, and refine datasets that reflect best practices in PCB layout, analog circuits, high-speed digital design, and power electronics simulation.Simulate complex analog and digital circuits, providing detailed feedback on design integrity, performance, and industry relevance.Develop comprehensive documentation, technical notes, and written explanations to support data annotation and knowledge transfer.Collaborate with a diverse, global team of experts, contributing insights to enhance the accuracy and depth of training data for AI models.Apply deep hands-on experience to assess and validate PCB designs and circuit simulations for relevance, clarity, and technical correctness.Use your strong written and verbal communication skills to clearly articulate electronic engineering concepts and mentor peers as needed.Required Skills and Qualifications:Expert-level knowledge of DesignSpark PCB with demonstrable, hands-on project experience.Solid foundation in electronics engineering and circuit simulation using modern software tools.Proven experience in analog circuit design and simulation, high-speed digital PCB design, and power electronics simulation.Background as an Electronics Engineer, Hardware Design Engineer, PCB Designer/Layout Engineer, Power Electronics Engineer, or Analog Design Engineer.Exceptional written and verbal communication skills, with a keen ability to explain complex concepts clearly and concisely.Meticulous attention to detail and a commitment to producing high-quality, industry-relevant data and documentation.Strong analytical and problem-solving abilities, with a proactive approach to technical challenges.Preferred Qualifications:Experience contributing to or training AI/machine learning systems in a technical domain.Prior work on high-complexity, multi-layer PCB projects using DesignSpark PCB.Advanced degree in Electronics Engineering or a related field.

About Micro1: Job Title: Energy Compliance AttorneyJob Type: ContractorLocation: Remote (USA - East Coast candidates only)Job Summary:As a Energy Compliance Attorney, 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 Responsibilities:Provide comprehensive legal review and final sign-off on site control packages and interconnection compliance documentation for utility-scale energy projects.Resolve escalated document disputes identified by Tier 1 reviewers, ensuring legal accuracy and regulatory compliance.Assess and confirm the alignment of project filings with FERC regulations and PJM Interconnection requirements.Review permitting submissions for transmission and generation to ensure full legal and regulatory conformity.Deliver structured, high-quality legal opinions and findings in standardized formats tailored for client delivery.Collaborate with project teams to address complex legal and compliance challenges throughout the development lifecycle.Stay abreast of evolving federal and PJM regulatory requirements to proactively advise on compliance strategies.Required Skills and Qualifications:Active bar membership with a background in energy regulatory or infrastructure law.8+ years of relevant legal experience, ideally in PJM markets or related jurisdictions.Demonstrated experience with PJM Interconnection processes, including site control requirements and queue compliance.In-depth knowledge of FERC regulations as they pertain to transmission and generation interconnection.Practice based on the East Coast with a focus on East Coast energy regulatory requirements.Experience at a law firm, utility, independent power producer (IPP), or a federal energy regulatory agency.Preferred Qualifications:Experience as lead or senior counsel on PJM interconnection legal matters.Direct involvement with transmission developers, ISOs, or FERC in an advisory or decision-making capacity.Familiarity with utility-scale solar, wind, or transmission permitting processes in the eastern US.

About Turing: About TuringBased 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&L Role OverviewWe are looking for experienced Machine Learning Engineers (MLE Bench) to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems.The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments. What does day-to-day life look like?Work with real-world ML codebases to support MLE Bench–style evaluation tasks.Build, run, and modify model training, evaluation, and inference pipelines.Prepare datasets, features, and metrics for ML benchmarking and validation.Debug, refactor, and improve production-like ML systems for correctness and performance.Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks.Write clean, reproducible, and well-documented Python code for ML workflows.Participate in code reviews to ensure high standards of engineering quality.Collaborate with researchers and engineers to design challenging, real-world ML engineering tasks for AI system evaluation.RequirementsMinimum 3+ years of overall experience as a Machine Learning Engineer or Software Engineer (ML-focused).Strong proficiency in Python for machine learning and data workflows.Hands-on experience with model training, evaluation, and inference pipelines.Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization).Experience working with ML frameworks (e.g., PyTorch, TensorFlow, JAX, or similar).Ability to understand, navigate, and modify complex, real-world ML codebases.Experience writing readable, reusable, and maintainable production-quality code.Strong problem-solving and debugging skills.Excellent spoken and written English communication skills.Perks of Freelancing With TuringWork in a fully remote environment.Opportunity to work on cutting-edge AI projects with leading LLM companies.Offer DetailsCommitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST.Engagement Type: Contractor assignment (no medical/paid leave)Duration of Contract: 3 months (adjustable based on engagement)Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil, MexicoEvaluation ProcessTechnical Interview with live coding challege (60 mins)

About Turing: About TuringTuring 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 OverviewWe are looking for strong, detail-oriented software practitioners to help evaluate and improve datasets for agentic coding models.This role involves working with realistic coding tasks in an agentic coding harness, reviewing model trajectories, verifying solutions, and producing high-quality annotations.Depending on the assignment, the work may include:Online evaluations: Manually interacting with blinded models on predefined tasks, then ranking and grading resulting trajectoriesOffline evaluations: Designing realistic coding tasks, calibrating them through user simulation, writing task-specific rubrics, and grading generated trajectoriesThis is not a basic annotation role. Candidates are expected to read and debug code, validate behavior, follow detailed process rules, and make consistent judgment calls across model runs.We are specifically looking for candidates with enough engineering maturity to independently work on realistic software tasks, not just toy problems or shallow code-review exercises. What does day-to-day look likeExecute realistic coding tasks within the assigned agentic coding harness while maintaining model blindness and session independenceFollow task instructions, milestones, planned interactions, and evaluation guardrails consistently across runsVerify model outputs by reading code, running commands, checking logs, and inspecting generated artifactsPerform targeted validation of outputs using tests, scripts, and manual checksWrite clear, specific, evidence-based rationales for trajectory rankings and assessmentsDesign multi-step, realistic coding tasks (offline work), including user intent and milestone structureCreate and refine task-specific rubrics and binary evaluation criteriaReview completed work for quality, completeness, consistency, and schema complianceIdentify and escalate broken environments, unclear instructions, or process gaps with clear supporting evidenceRequirements Software Engineering Fluency (Mandatory)5+ years of experience in software engineering, QA, developer tooling, data/ML engineering, or similar code-heavy rolesStrong hands-on experience in at least 1–2 programming languages or ecosystemsRepresentative languages include :Python, JavaScript/TypeScript, Rust, Java, C/C++, Bash/CLI environments, Haskell, Swift, SQL, or other production-relevant ecosystemsAbility to: Read and understand unfamiliar codebases Run and interpret tests, scripts, and CLI tools Debug issues and reason about edge cases or partial fixes Evaluate whether an implementation is functionally correct Additional Preferred Qualifications (Offline / Senior Candidates)Strong Docker skills and experience building/debugging reproducible environmentsExperience working in large, complex repositories (not just small or greenfield projects)Demonstrated originality and sound engineering judgment in defining technical problemsAbility to design realistic, non-trivial tasks that go beyond tutorials, README flows, or simple bug fixesPerks of Freelancing With TuringWork on cutting-edge AI projects with leading foundation model companiesCollaborate on high-impact work at the frontier of LLM evaluation and reasoningRemote, flexible opportunities with global teamsCompetitive compensation based on experience and project scopeOffer DetailsCommitments Required: 8 hours per day with a 4-hour overlap with PST.Employment Type: Contractor position (Note: this role does not include medical/paid leave).Duration of Contract: 5 weeks; [expected start date is next week].

About Turing: About the ClientOur mission is to bring community and belonging to everyone in the world. We are a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet.About the RoleWe are looking for an Android Engineer to help us grow internationally  through translations and guest experiences. You will contribute to the  full development cycle, including technical design, development,  testing, experimentation, analysis, and launch. You will be responsible  for managing your task list pipeline as well as communicating your  progress throughout the task life cycle. You will be aiding the  development, maintenance, and support of our platform's Android featuresKey Responsibilities Work with the team to develop, maintain and support all features on Android Perform code reviews on features developed by your peers Collaborate with the team on future features and possible visual designs Maintain strong communication on progress as well as on question/concerns you foresee Manage designated tasks assigned on JiraWho You Might Be: Minimum of 10+ years of software engineering experience, primarily  focusing on developing user-facing Android applications at scale using  Kotlin or Java Experience with modern Android development frameworks such as Jetpack Compose and Kotlin coroutines. Working knowledge of GraphQL Backend experience (service development, databases, Kubernetes) and the ability to design maintainable APIs is a plus Strong organizational skills with the ability to prioritize tasks and deliver projects on schedule Self-directed and thrive in fast-paced environments Excellent communication skills, both verbal and written, to  effectively collaborate with remote teams and communicate complex  technical topics to diverse audienceOffer Details Full-time contractor or employee, depending on a country Remote only, full-time dedication (40 hours/week) Required 4+ hours overlap with Pacific Standard Time Competitive compensation package. Opportunities for professional growth and career development. Dynamic and inclusive work environment focused on innovation and teamwork.