Remote Jobs at Turing

Candidates must possess 12+ years of hands-on engineering experience, with at least 5-6 years focused on building AI/ML models and systems. A minimum of 1 year of experience in developing Generative AI (LLM) applications using techniques like prompt engineering, RAG, and/or agents is required. Expertise in architecting GenAI applications/systems with various frameworks and cloud services, good proficiency in Azure, GCP, or AWS cloud services, and expert programming skills in Python, Langchain/La…

Candidates should possess 5-8+ years of experience in software engineering or solutions engineering, with proven expertise in Python, Langchain, LangGraph, and SQL. A deep understanding of engineering architecture, including APIs, microservices, and event-driven systems, is required, along with demonstrated success in designing and deploying GenAI applications into production. Strong proficiency with cloud services such as AWS, GCP, and/or Azure, and excellent communication skills are essential.…

- 2+ years as an early engineer at a prominent AI product startup - Proficiency in both front-end and back-end development (Full-Stack Engineering) - Demonstrated ability to build and ship real web applications, with a portfolio to showcase (e.g., personal site, GitHub, or screenshare)

- 4+ years as a backend engineer, with 2+ at a prominent AI product startup or equivalent environment - Proficiency in building scalable APIs, data processing systems, and backend infrastructure - Demonstrated ability to ship reliable production systems (e.g., GitHub, case studies, or code samples)

Candidates must have over 15 years of experience in engineering and delivering technology services, with a minimum of 5 years leading large-scale, client-facing engineering or applied AI practices. Prior accountability for enterprise-scale delivery outcomes, including budgets, teams, and multi-regional programs, is essential. Deep expertise in applied Generative AI systems, encompassing agentic workflows, copilots, multimodal integration, orchestration frameworks, and enterprise deployment, is r…

Candidates must possess over 10 years of experience in engineering, program management, or the delivery of large-scale projects, with a proven ability to lead and scale teams of 100+ members and demonstrate measurable impact. A strong technical foundation in AI/ML, data annotation, and multimodal systems is essential, along with proficiency in Python or Swift for data analysis and automation. Strong mathematical and analytical skills for data-driven problem-solving, experience in data curation, …

- 10+ years of experience building and leading large scale technical delivery teams - Proven ability to lead large cross functional teams (100+) by building strong operations - Bachelor’s degree in Engineering, Computer Science or equivalent practical experience leading large-scale technical initiatives - Demonstrated experience managing large-scale dataset generation or annotation for LLMs, ideally with experience in RLHF or SFT pipelines - Strong understanding of quality review mechanisms incl…

- 10+ years of experience in product marketing, including executive leadership roles at AI, SaaS, or cloud technology companies - Proven record of launching and scaling products - Expertise in messaging, GTM strategy, and market category creation - Track record of growing user adoption, revenue, and awareness for cutting-edge AI and ML solutions - Recognized speaker and thought leader at global conferences (AWS re:Invent, re:MARS, industry forums) - Strong leadership skills, with experience mana…

- 10+ years of experience in engineering, program management, or AI delivery, including 2+ years in ML/LLM project leadership - Proven ability to manage large-scale delivery programs (100+ team members) across data, research, and engineering streams - Strong technical grounding in machine learning, NLP, and modern deep learning frameworks (PyTorch, TensorFlow, Hugging Face, etc.) - Working knowledge of MLOps pipelines (MLflow, Kubeflow, or Vertex AI) and cloud platforms

- Hands-on technical leadership experience in creating datasets, RL environments, and evals for AI, particularly in coding agents and software engineering - Ability to interface directly with researchers/engineers at frontier AI labs to understand needs and build data offerings - Experience building and managing cross-functional teams of software engineers, researchers, QAs, contractors, and data-annotators - Expertise in defining and managing data pipelines, validation workflows, and review pro…

- 3+ years of experience in operations, strategy, or project leadership roles - Proven track record of managing large, distributed teams (50–70+ people) and driving measurable outcomes - Background in consulting, high-growth startups, or operations-driven environments preferred - Graduate from a top-tier institution (IIT, IIM, XLRI, SP Jain, or equivalent) strongly preferred - Strong analytical, communication, and organizational skills with a proven ability to manage multiple stakeholders - Comf…

- Hands-on technical leadership in RL environment projects - Ability to own end-to-end lifecycle of RL environment projects (design, task generation, reward/verifier design, quality, delivery) - Experience leading teams of engineers, subject matter experts, researchers, and data ops - Skills in interviewing, hiring, onboarding, training, and retaining talent - Expertise in setting processes for generating environment code, database schemas, seed data, tasks, and verifiers - Ability to establish …

- 10+ years of experience in engineering, program management, or delivery of large-scale projects - Proven ability to lead and scale large teams (100+ members) with measurable impact - Strong technical grounding in AI/ML, data annotation, and multimodal systems - Proficiency in Python (preferred) or Swift for data analysis and automation - Strong mathematical and analytical skills for data-driven problem solving - Experience in data curation, annotation pipelines, and quality control - Excellent…

- Master’s or PhD in Finance, Accounting, Business Administration, Data Science, or a related field - 5–8+ years of delivery or program management experience in data, analytics, or AI projects - Strong understanding of finance workflows (investment banking, PE/VC, trading, sales, compliance, risk) - Proven experience leading data annotation, dataset generation, or data pipeline projects for AI/ML applications - Excellent communication and stakeholder management skills - Strong analytical and org…

- Bachelor’s degree in Information Technology, Computer Science, or related field (or equivalent hands-on experience) - 5+ years of experience in IT Operations or SaaSOps, managing SaaS platforms in a modern enterprise environment - Hands-on experience with SaaS Platforms: Google Workspace, GitHub, Okta, Slack, Zoom, Atlassian Suite, Notion, etc - Hands-on experience with SaaS Management: License tracking, spend optimization, and vendor relationship management - Hands-on experience with Identity…