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 candidates with strong analytical and English comprehension skills. The ideal candidate should have the ability to read, summarize, and break down large content into smaller logical blocks, conduct research online, validate claims made in the content through online research, and work with the LLM (Large Language Models) to solve puzzles!Your role is critical in helping fine-tune and improve large language models (like gpt), and will make you an expert on how to leverage AI to be a better analyst. This is your chance to future-proof your career in an AI-first world!What does day-to-day look like: Listen to audio recordings and accurately transcribe spoken content following the provided syntax and formatting guidelines. Annotate non-verbal cues (e.g., pauses, laughter, tone changes, background reactions) to capture the full context of each recording. Review and edit transcriptions to ensure they are contextually accurate, complete, and compliant with project-specific standards. Identify and report inconsistencies or ambiguities in speech or annotation, providing clear feedback for quality improvement. Deliver high-quality audio files on time and in the correct format Collaborate with cross-functional teams or follow detailed instructions to maintain high-quality standards in transcription and annotation accuracy.Requirements: Multilingual capabilities are mandatory (English). Analytical Skills: Good research and analytical skills Feedback Skills: Ability to provide constructive feedback and detailed annotations. Creative Thinking: Creative and lateral thinking abilities. Communication: Excellent communication and collaboration skills. Independence: Self-motivated and able to work independently in a remote setting. Commitment: Ability to commit to 40 hours per week for the contract duration overlapping US hours. Technical Setup: headphones and a working microphone.Preferred Qualifications: Bachelors degree or undergraduate in Engineering, Literature, Journalism, Communications, Arts, Statistics, or a related field. We are open to candidates who do not have a Bachelor's degree but have experience in the area. Experience with audio related RLHF tasks and/or voice acting is highly desirable. Experience writing professionally (business analysts, research analyst, copywriter, journalist, technical writer, editor, translator, etc.) Understanding of Excel and Google Suite. Proficiency in Data interpretation, Logical reasoning and Basic arithmetic is highly desirable.Perks of Freelancing With Turing: Competitive compensation based on experience and expertise. Flexible working hours and remote work environment. Opportunity to work on cutting-edge AI projects with leading LLM companies. Potential for contract extension based on performance and project needs.Offer Details: Commitments Required: Availability of upto 40 hours per week is preferred Engagement type: Contractor assignment/freelancer (no medical/paid leave) Duration of contract 10 Weeks inital pilot, could extend. This role will require 4 hour overlap with PT Timezone.Application Process: Shortlisted candidates will be sent an automated analytical challenge. Once you clear the challenge, you will be redirected to a business writing assessment (English) followed by a language proficiency assessment. Once you clear these online assessments, you are ready to go!
About Turing: Principal GenAI Engineer – Knowledge Graph & Semantic SystemsEmployment Type: Full TimeExperience Level: PrincipalAbout TuringBased in Palo Alto, California, Turing is the world’s first AI-powered tech services company. It has reimagined tech services from the ground up with AI by offering AI-vetted and matched talent, AI-accelerated development, and access to AI transformation experts who have built many of the most iconic Silicon Valley companies.Founded in 2018, the company has experienced tremendous growth with over two million global developers on its Talent Cloud and 900+ clients. Turing has received numerous awards, including Forbes’s “One of America’s Best Startup Employers” and recognition from The Information and Fast Company as one of the most innovative companies globally.About the RoleTuring is hiring a Principal GenAI Engineer with strong expertise in LLMs and Knowledge Graphs to lead enterprise-scale AI implementations for Fortune 500 clients. This role focuses on building Graph-powered RAG systems (Graph-RAG) that combine structured semantic reasoning with advanced LLM architectures to deliver scalable, explainable, production-grade AI solutions.What We’re Looking For 8-13 years of experience in ML/AI systems 2+ years hands-on experience with LLMs (RAG, agents, prompt engineering) 5+ years of production experience working with Knowledge Graphs Strong proficiency in Python, LangChain, LangGraph, and SQL Experience deploying GenAI systems on AWS / Azure / GCPMandatory Knowledge Graph Expertise Design and scale enterprise Knowledge Graph architectures Develop ontologies, taxonomies, and semantic data models Implement entity resolution, relationship extraction, and graph enrichment Experience with Neo4j, Amazon Neptune, or similar graph databases Strong hands-on experience with Cypher (or similar graph query languages) Build hybrid retrieval systems combining Knowledge Graphs + vector databases Integrate structured graph reasoning with LLMs to reduce hallucination and improve explainability
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About Turing: Location: Onsite – GurugramEmployment Type: Full TimeExperience Level: Senior (8–14 years)Principal GenAI Engineer – Knowledge Graph & Semantic SystemsAbout 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 and leveraging that work to build real-world AI systems that solve mission-critical business problems.About the RoleTuring is hiring a Principal GenAI Engineer with strong expertise in LLMs and Knowledge Graphs to lead enterprise-scale AI implementations for Fortune 500 clients. This role focuses on building Graph-powered RAG systems (Graph-RAG) that combine structured semantic reasoning with advanced LLM architectures to deliver scalable, explainable, production-grade AI solutions.What We’re Looking For 8-13 years of experience in ML/AI systems 2+ years hands-on experience with LLMs (RAG, agents, prompt engineering) 5+ years of production experience working with Knowledge Graphs Strong proficiency in Python, LangChain, LangGraph, and SQL Experience deploying GenAI systems on AWS / Azure / GCPMandatory Knowledge Graph Expertise Design and scale enterprise Knowledge Graph architectures Develop ontologies, taxonomies, and semantic data models Implement entity resolution, relationship extraction, and graph enrichment Experience with Neo4j, Amazon Neptune, or similar graph databases Strong hands-on experience with Cypher (or similar graph query languages) Build hybrid retrieval systems combining Knowledge Graphs + vector databases Integrate structured graph reasoning with LLMs to reduce hallucination and improve explainability
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 highly detail-oriented Video Data Annotators to support cutting-edge AI/ML initiatives focused on first-person (egocentric) video understanding.In this role, you will analyze video clips and answer questions based strictly on what is visually observable at a specific moment in time. Your work will directly contribute to training and improving advanced vision-language models.This is a precision-driven role that requires strong observational skills, disciplined thinking, and the ability to follow strict guidelines.Key Responsibilities: Review first-person video clips and analyze visual content at specific timestamps Provide accurate, concise, and evidence-based answers grounded in visible information Identify and select the exact visual evidence supporting each answer Determine whether a question is valid or unanswerable based on the available video content Ensure no use of future frames or external assumptions when answering questions Maintain high consistency and accuracy across large volumes of tasks Adhere strictly to project guidelines, formatting, and quality standards Perform self-review to ensure alignment between question, evidence, and answerRequired Skills and Qualifications:Core Skills Strong attention to detail and ability to spot subtle visual differences Excellent observational and visual interpretation skills Clear and concise written communication Strong reading comprehension and understanding of nuanced questions Critical thinking and logical reasoning (sequence, counting, spatial awareness) Ability to remain objective and avoid assumptions beyond visible dataBehavioral Traits High level of focus and consistency in repetitive, detail-heavy tasks Strong ownership and accountability for quality of work Ability to follow strict guidelines with high precision Self-driven with a proactive quality-check mindsetPreferred Backgrounds: Experience in data annotation, data labeling, or content moderation Exposure to image/video annotation or computer vision projects Background in QA, quality assurance, or analytical roles Familiarity with AI/ML data workflows is a plusOffer Details: Commitments Required: 40 hours per week with at least 4 hours PST overlap Employment type : Contractor assignment (no medical/paid leave) Duration of contract : 4 weeks; [expected start date is next week] Location : Brazil, Colombia, Mexico, Peru , Egypt, India, Nigeria, Ghana, Indonesia, Pakistan, Turkey, VietnamEvaluation Process:Candidates will need to complete an assessment, after which the team will reach out with the next steps.
About Turing: About TuringTuring is an AI-powered tech services company with a mission to accelerate AGI advancement and deployment by bridging the gap between global talent from 100+ countries and the world's best foundational LLM companies, by helping them improve performance through model evaluation, fine-tuning, feedback, factuality and handling diverse data.Role OverviewA US based AI company that is at the forefront of AI research is looking for a detail-oriented and analytically consistent Annotator to evaluate visual and creative content using structured rating frameworks and detailed guidelines.In this role, you will assess AI-generated and real-world media (images and videos) for quality, realism, composition, and adherence to defined evaluation standards. Your work will directly contribute to improving cutting-edge AI systems.This position requires strong visual judgment, structured reasoning, and consistency across high-volume evaluation tasks.Job Responsibilities Evaluate visual and media content using structured guidelines and predefined rating frameworks. Provide clear, well-structured written justifications to support evaluation decisions. Ensure consistency, accuracy, and attention to detail across high-volume annotation tasks. Identify quality gaps related to realism, composition, motion, lighting, and overall production standards.Job Requirements 3+ years of professional work experience Media/agency experience is mandatory Hands-on experience working directly with designers, photographers, or videographers (mandatory) Experience with AI image or video generation tools is a strong plus Strong understanding of motion realism, lighting, camera movement, composition, and production quality Strong analytical, logical reasoning, and research skills and excellent communication and collaboration abilities, with proficiency in English. Incorporate feedback from LLM performance metrics into training data creation. Ability to commit to 40 hours per week and candidates who can join immediately preferred.Required Qualification:Bachelor’s degree or higher in: Design, Visual Communication, or Fine Arts Film, Media, Animation, or VFX Photography or Cinematography Architecture or Industrial Design Creative Writing or equivalent professional experience in content creation, media production, or content review.Benefits Opportunity to work on cutting-edge AI projects. Competitive compensation. Flexible working hours and remote work environment.Application Process Shortlisted candidates will complete an assessment. Successful candidates will be interviewed. Once the assessment is cleared, candidates can start.
