BA - Text Situated Alignment Generalist Role - III

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 :
The Text Situated Alignment Generalist – BA role supports a short-term human-AI interaction evaluation pilot designed to assess whether providing social context before a user’s request helps a language model generate more relevant, personalized, and user-aligned advice. Contributors create realistic, ongoing social scenarios, interact with the model under different conditions, and evaluate the quality of its responses. The role is suitable for intelligent, creative, and English-proficient individuals with experience in human-AI interaction, data annotation, content evaluation, or similar projects.

Job Responsibilities:

• Create realistic and ongoing social scenarios involving relevant personal, professional, or interpersonal context.
• Interact with the language model under the assigned evaluation conditions.
• Evaluate model responses for relevance, usefulness, personalization, clarity, and alignment with the provided context.
• Explain the reasoning behind each rating through clear and detailed written feedback.
• Follow project guidelines and complete assigned tasks within the required timeline.

Requirements:

• Demonstrate strong written English proficiency and clear communication skills.
• Possess experience in human-AI interaction, data annotation, image/video annotation, content evaluation, or similar projects.
• Apply creative and analytical thinking when developing realistic social scenarios.
• Understand nuanced interpersonal situations and evaluate responses objectively.
• Preferred background: Experience in Business Analysis, human-AI interaction, data annotation, image/video annotation, content evaluation, or similar analytical projects.

Project Details :

• Project duration - 2-3 weeks (short term project)
• Project type - Pay-per-task (PPT)
• AHT - 60 minutes (approx.)
• Engagement - Full time
• Estimated project start date - 28 september (estimated)