As an Operations 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. No prior experience in AI is required, your domain knowledge is what matters.

In this role, you will contribute to projects that directly influence the development of advanced artificial intelligence technologies used across a wide range of industries. By reviewing, organizing, and evaluating information, you will help improve the accuracy, reliability, and overall performance of AI models. Your insights and decision-making abilities will play an important role in teaching AI systems how to better understand human language, solve problems, and respond more effectively to real-world situations.

This position is ideal for detail-oriented professionals who enjoy analytical thinking, problem-solving, and working with digital tools in a fast-paced environment. Every task completed contributes to building smarter and more efficient AI solutions that can support businesses, customers, and communities around the world. Rather than requiring a technical background in programming or machine learning, this opportunity values critical thinking, communication skills, adaptability, and professional experience from a variety of fields.

Key Responsibilities:

Analyze authentic workplace communications, including Slack messages, email threads, and internal files, to extract key information and context.
Identify decisions, action items, dependencies, blockers, and unresolved questions within unstructured business conversations.
Synthesize complex, multi-source data into realistic, multi-step tasks for evaluating advanced AI agents in the Jarvis reinforcement learning environment.
Develop clear prompts and robust evaluation rubrics rooted in real startup workflows and workplace dynamics.
Distinguish relevant details from irrelevant context while tracing information across multiple channels and timelines.
Handle ambiguity and incomplete data with systematic, structured approaches to ensure task realism and accuracy.
Maintain confidentiality and uphold data integrity when working with sensitive, authentic workplace materials.

Required Skills and Qualifications:

Expert-level written and verbal communication skills with a strong emphasis on clarity and precision.
Demonstrated ability to interpret and connect fragmented workplace communications across diverse formats.
Experience in synthesizing and organizing messy, unstructured information into actionable insights.
Proven capacity to identify key decisions, action items, and contextual dependencies within fast-paced business environments.
Strong generalist skills, ideally with experience in startups or dynamic operational roles.
Comfort working with evolving business scenarios, distributed knowledge, and shifting priorities.
High attention to detail and commitment to maintaining confidentiality.