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About Micro1: Job Title: Video related professional for AI trainingJob Type: ContractorLocation: RemoteJob Summary: As a Video related professional for AI training, 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 hands-on video expertise—be it editing, filming, special effects, post-production, or motion graphics—to provide precise feedback and insights for AI model improvement.Analyze video content, identifying nuances, technical details, and creative techniques crucial for training advanced AI systems.Collaborate with AI researchers and engineers to interpret, annotate, and assess video datasets for model training and evaluation.Review and critique AI-generated video outputs, ensuring accuracy, quality, and adherence to industry standards.Document your observations clearly, combining strong written and verbal communication to facilitate effective cross-functional collaboration.Assist in curating diverse, high-quality video samples representing a wide array of genres, formats, and production scenarios.Stay informed about emerging video trends and technologies to ensure relevance and innovation in AI training materials.Required Skills and Qualifications:Extensive professional experience in a video-centric role (e.g., video editor, filmographer, VFX specialist, motion artist, or similar).Deep understanding of video production workflows, editing software, and/or visual effects pipelines.Exceptional attention to detail with a keen eye for technical and aesthetic video quality.Outstanding written and verbal communication skills, with the ability to explain complex video concepts to non-experts.Ability to work independently and manage time effectively in a remote environment.Strong problem-solving skills and a collaborative mindset.Comfortable providing constructive feedback and engaging in iterative, detail-oriented tasks.Preferred Qualifications:Experience working with AI, machine learning, or data annotation projects.Broader familiarity with various video genres, production styles, and technical standards.Background in training, mentoring, or technical documentation within the video industry.

About Turing: About Turing:Based 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 Overview:We are looking for a driven AI Project Manager / Team Lead with 4+ years of experience to lead end-to-end delivery of multimodal AI projects across text, image, audio, and video domains. This role requires strong execution skills, stakeholder management, and the ability to thrive in fast-paced, ambiguous environments. Key Responsibilities:Lead end-to-end delivery of multimodal AI projects across text, image, audio, and videoCoordinate cross-functional teams including researchers, engineers, and data specialistsDrive project planning, execution, and timely delivery against defined milestonesManage stakeholders and ensure clear communication and alignment on goalsTranslate complex AI requirements into structured roadmaps and actionable plansMonitor KPIs, track progress, and proactively mitigate risks and bottlenecksOptimize resource allocation to ensure high-quality project outcomesIdentify process improvements to enhance delivery efficiency and team productivityNavigate ambiguity and adapt quickly in a dynamic, fast-paced environmentKey Requirements:4+ years of experience in project/program management, preferably in AI/ML or tech-driven environmentsExposure to or understanding of multimodal AI workflows (text, image, audio, video) is a plusStrong stakeholder management and communication skillsAbility to translate complex technical requirements into structured execution plansProven experience managing cross-functional and distributed teamsStrong problem-solving and execution mindsetComfortable working in fast-paced, evolving environmentsStrong English communication skills (written and verbal) requiredOffer Details:Commitments Required: 40 hours per week with at least 4 hours PST overlapEmployment type  : Contractor assignment (no medical/paid leave)Duration of contract : 4 weeks; [expected start date is next week]Location : Brazil, Colombia, Mexico, Peru, India, Pakistan, Nigeria, Egypt, Ghana, BangladeshEvaluation Process:Candidates will need to complete a short assessment, after which shortlisted candidates will proceed to an interview round.

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 actively seeking talented Data Scientists & Analysts proficient in Python to join our ambitious team dedicated to pushing the frontiers of AI technology. This opportunity is tailored for professionals who thrive on developing innovative solutions and aspire to be at the forefront of AI advancements. You will work with companies in the US looking to develop cutting-edge commercial and research AI solutions. You will write effective Python code to tackle complex issues but also use your business sense and analytical abilities to glean valuable insights from public databases, fix bugs in the code, and create thorough documentation. The ideal candidate will communicate clearly with researchers and help the organization in realizing its objectives, and clearly express the reasoning and logic when writing code in Jupyter notebooks, or other suitable mediums. It will also utilize extensive data analysis skills to develop and respond to important business queries using available datasets (such as those from Kaggle, the UN, the US government, etc.) What does day-to-day look like: Design, develop, and maintain efficient, high-quality code to train and optimize AI models. Conduct evaluations (Evals) to benchmark model performance and analyze results for continuous improvement. Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria. Develop comprehensive explanations and rationales for evaluations, showcasing excellent reasoning and technical expertise. Lead efforts in Supervised Fine-Tuning (SFT), including creating and maintaining high-quality, task-specific datasets. Collaborate with researchers and annotators to execute Reinforcement Learning with Human Feedback (RLHF) and refine reward models. Design innovative evaluation strategies and processes to improve the model's alignment with user needs and ethical guidelines. Create and refine optimal responses to improve AI performance, emphasizing clarity, relevance, and technical accuracy. Conduct thorough peer reviews of code and documentation, providing constructive feedback and identifying areas for improvement. Collaborate with cross-functional teams to improve model performance and contribute to product enhancements. Continuously explore and integrate new tools, techniques, and methodologies to enhance AI training processes.Required Skills Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)  A desire to have a significant impact on the field of artificial intelligence  Strong data analytic abilities and business sense are required to draw the appropriate conclusions from the dataset, respond to those conclusions, and clearly convey the key findings  Excellent problem-solving and analytical skills  Excellent communication abilities to work with stakeholders and researchers successfully  Fluent in conversational and written English communication skills Perks of Freelancing With Turing: Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.Offer Details: Commitments Required: at least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Engagement  type  : Contractor assignment (no medical/paid leave) Duration of contract : 1 month; [expected start date is next week]Evaluation Process (approximately 75 mins) : Two rounds of interviews (60 min technical + 15 min cultural &, offer discussion)

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].