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About Micro1: Job Title: AI Model Assessment SpecialistJob Type: ContractorLocation: RemoteJob Summary:As a AI Model Assessment Specialist, 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:Evaluate and critique the performance and accuracy of AI-generated content across various domains.Deliver detailed, constructive feedback to inform AI model improvements and refinements.Analyze complex datasets and assess model outputs for clarity, factual correctness, and alignment with project goals.Identify patterns, anomalies, and subtle nuances in AI-generated responses using high-level reading comprehension and keen observation.Collaborate with team members by communicating findings and insights clearly in both written and verbal formats.Contribute user-level expertise by simulating real-life scenarios or tasks to gauge model utility and effectiveness.Uphold quality assurance standards to ensure data integrity and consistency throughout the assessment process.Required Skills and Qualifications:Native English level is required (C1, C2) Demonstrated high-level reading comprehension and analytical thinking abilities.Keen eye for detail, capable of nuanced observation and recognizing subtle distinctions.Ability to provide clear, actionable feedback based on subject matter expertise.Strong organizational and time-management skills in a remote work environment.Self-motivated, reliable, and able to work independently while meeting deadlines.Comfort with digital collaboration tools and willingness to learn new platforms as required.Preferred Qualifications:Experience in Design, editorial work, research, or similar analytical fields.Background in AI assessment, data annotation, or technology evaluation projects.Demonstrated "good taste" and refined judgment in evaluating quality across different types of content.

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 UsBased 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 software engineering, logical 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.Ideal BackgroundThis role is ideal for engineers who have worked at the frontier of AI — at companies like OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or similar organizations pushing the boundaries of intelligent systems. We especially welcome graduates from programs with strong CS foundations such as University of Washington, University of Illinois Urbana-Champaign, UT Austin, University of Michigan, Purdue, and comparable institutions — though exceptional experience and skill always take precedence over pedigree.Project OverviewAs a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections — with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions.What Does a Typical Day Look Like? Work on AI model training initiatives by curating code examples, building solutions, and correcting code — primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go. Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents and automated verification tools in Python that can verify the quality of code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task.Required Skills Several years of software engineering experience (3 years or more) Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales.Engagement Details Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week Type: Contractor (no medical/paid leave) Duration: 1 month (potential extensions based on performance and fit) Location: Candidates must be based in the United StatesEvaluation Process The application process takes 15–30 minutes. Completion of an AI video interview is required.