Image/Video Annotator

The interview process at Turing typically involves multiple rounds, including technical assessments and interviews. Candidates can expect to be asked questions on their technical skills, problem-solving abilities, and experience in image/video annotation. It is essential to be prepared, confident, and honest during the interviews.

Turing offers a fully remote environment, flexible working hours, and competitive pay. The company values collaboration, innovation, and creativity, and provides opportunities for professional growth and development. Turing is committed to creating a positive and inclusive work culture that supports the well-being and success of its employees.

English Proficiency: Ability to read, write and communicate in English with high comprehension skills. Attention to Detail: Ability to follow nuanced instructions with precision. Technical Comfort: Familiarity with basic computer tools and working with file uploads/audio formats. Analytical Thinking: Ability to understand context and intent in scripts. Past experience in image/video annotation is preferred but is not necessary. Communication: Excellent communication and collaboration skills. Independence: Self-motivated and able to work independently in a remote setting.

Round 1: Screening and shortlisting of candidates → Round 2: Technical assessment and interview → Round 3: Final interview and offer

Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. The company 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. Turing is trusted by AI leaders, enterprises, and more, including Anthropic, Dell, Disney, Nvidia, Pepsi, Reddit, Rivian, and Snowflake. The company is committed to creating a fully remote environment where professionals can work on cutting-edge AI projects with leading LLM companies. As an Image/Video Annotator at Turing, you will play a crucial role in advancing large multimodal AI systems. Your primary responsibility will be to annotate and analyze videos or images, capturing intricate details such as people, objects, environments, relationships, emotions, and storytelling flow. Your work will directly contribute to training next-generation AI models to better perceive, interpret, and reason about the visual world—helping them understand scenes, motion, and context just as humans do. Key responsibilities include: Analyze short video clips and images to identify and annotate key visual and narrative components, including subjects, settings, actions, and emotions. Describe temporal sequences, scene transitions, and interactions in videos with high accuracy. Label complex visual cues such as mood, lighting, and spatial relationships. Follow detailed annotation guidelines to ensure consistency, clarity, and data quality. Validate AI-generated outputs for correctness, structure, and relevance. Collaborate with project leads to align on evolving annotation standards and quality benchmarks. Contribute structured datasets that improve AI model understanding of both static and dynamic visual information. The ideal candidate should have excellent communication and collaboration skills, be self-motivated, and able to work independently in a remote setting. A reliable computer with a stable internet connection is required. English proficiency, attention to detail, and technical comfort are also essential. By joining Turing, you will have the opportunity to work on cutting-edge AI projects, collaborate with a talented team, and contribute to the development of next-generation AI models. You will also have the potential for contract extension based on performance and project needs. Turing offers a fully remote environment, flexible working hours, and competitive pay. If you are a creative and detail-oriented professional with strong visual interpretation skills, this is an excellent opportunity to advance your career and contribute to the growth of AI systems.