Generalist
Fleet Fellowship · United States
- Hybrid
- Contract
- $40,000 / year
- United States
Job highlights
- Contribute adaptable expertise across AI projects.
- Write, research, evaluate, and train AI agents.
- Collaborate with AI experts on human-AI interaction.
- Requires strong writing and precise instruction following.
- Remote, contract role with flexible hours.
About the role
About Fleet AI
Fleet AI is an applied artificial intelligence company focused on human–AI collaboration at scale. Our goal is to accelerate the transition to the allocation economy—a future where humans direct work rather than perform it. This capability has historically been limited to the top ~1% of the global economy. We believe it should be accessible to everyone. To get there, we are building training gyms for AI agents: high-fidelity simulation environments where agents can practice real tasks and humans can supervise, evaluate, and steer their behavior. These environments allow AI systems to gain experience with the actual tools, workflows, and constraints of the teams they support.About the Role
As a Fleet Fellow, Generalist Expert, you'll contribute broad, adaptable expertise across a range of Fleet AI projects. Unlike our domain-specific Expert roles, this position is for versatile generalists who can jump between different types of work—writing, research, evaluation, data annotation, AI training, and more—depending on what's needed. You'll work closely with Fleet AI's internal team and other Experts to shape, test, and improve AI systems at the frontier of human–AI collaboration. This role is ideal for sharp, creative generalists who learn fast, write well, follow instructions precisely, and thrive in a dynamic environment where priorities shift and new challenges appear regularly.What You'll Do
- Complete a wide variety of tasks across Fleet AI projects—writing, evaluation, research, annotation, and more
- Follow detailed instructions carefully and produce high-quality, consistent outputs
- Review and evaluate AI-generated content for accuracy, quality, and usefulness
- Write clearly and creatively across different formats and topics
- Adapt quickly as instructions change and new projects spin up
- Take feedback constructively and apply it immediately to improve your work
- Communicate proactively with the team via Slack—ask questions, flag issues, share updates
- Engage through internal tooling, with contributions tracked to support transparency, feedback, and long-term reputation building
You May Be a Good Fit If You
- Are a strong, creative writer who can adapt tone and style to different contexts
- Have high-quality previous experience with AI training, RLHF, data labeling, or evaluation work (strong preference)
- Can follow detailed, sometimes complex instructions precisely and consistently
- Learn quickly and stay effective when instructions or project scope change
- Take feedback well and visibly improve based on it
- Are highly communicative—you default to over-communicating on Slack rather than going quiet
- Are a native English speaker located in an English-speaking country (required)
- Can commit to at least 20 hours per week (strong preference)
- Prefer flexible, contract-based engagements over traditional full-time roles
- Are motivated by impact, learning, and collaborating with highly capable peers
- Care deeply about craft, rigor, and thoughtful execution
How Engagements Work
- Initial assessment via quiz and 3 submitted tasks
- Fully remote, contract-based work
- Projects vary in scope, duration, and time commitment
- You'll be expected to be active on Slack during your working hours
- Performance, collaboration quality, and activity are transparently tracked to support future opportunities within Fleet AI's Expert Network
Compensation
- Base rate: $40/hr
- Occasional bonuses based on performance and project impact
- $200 referral bonus — know someone who'd be great? Send them our way using your personal referral link
Our Philosophy
We believe the most important advances in AI will come from close, thoughtful collaboration between humans and machines. That work requires strong judgment, clear communication, and a willingness to operate at the edge of what exists today. We encourage you to apply even if you don't meet every qualification listed. Many strong candidates underestimate their fit, and we care far more about demonstrated ability and how you think than about credentials alone. Come help shape how humans and AI work together—at scale.Key skills/competency
- AI Training
- RLHF
- Data Labeling
- Evaluation
- Research
- Writing
- Communication
- Adaptability
- Problem-Solving
- Attention to Detail
Skills & topics
- Generalist Expert
- AI Training
- RLHF
- Data Labeling
- AI Evaluation
- Research
- Writing
- Human-AI Collaboration
- Remote Work
- Contract Role
How to get hired
- Tailor your resume: Highlight AI training, data labeling, or evaluation experience. Emphasize strong writing and precise instruction-following skills.
- Ace the assessment: Prepare for the initial quiz and task submissions by demonstrating your writing and evaluation abilities.
- Showcase adaptability: During your application and any interviews, emphasize your quick learning and ability to thrive in dynamic environments.
- Communicate proactively: Highlight your strong communication skills, especially your default to over-communicating via Slack.
- Understand the philosophy: Align your application with Fleet AI's focus on human-AI collaboration and iterative improvement.
Technical preparation
Practice AI training and data labeling.,Familiarize yourself with RLHF principles.,Hone your content evaluation skills.,Develop precise instruction-following abilities.
Behavioral questions
Describe adapting to changing instructions.,How do you handle constructive feedback?,How do you ensure precise output quality?,Explain your communication style in remote teams.
Frequently asked questions
- What is the Fleet Fellowship Generalist Expert role?
- The Fleet Fellowship Generalist Expert role at Fleet AI is a remote, contract-based position for versatile individuals who can contribute to various AI projects. This includes tasks like writing, research, data annotation, and AI training, focusing on human-AI collaboration.
- What kind of experience is preferred for the Generalist Expert role at Fleet AI?
- Fleet AI has a strong preference for candidates with high-quality previous experience in AI training, Reinforcement Learning from Human Feedback (RLHF), data labeling, or evaluation work. Strong writing skills and the ability to follow detailed instructions precisely are also highly valued.
- What are the work arrangements for Fleet Fellowship roles?
- Fleet Fellowship roles, including the Generalist Expert position, are fully remote and contract-based. Engagements vary in scope and duration, with an expectation of responsiveness on Slack during working hours.
- How is performance evaluated for Fleet AI Experts?
- Performance, collaboration quality, and activity are transparently tracked for Fleet AI Experts. This tracking supports future opportunities within Fleet AI's Expert Network and is based on contributions made through their internal tooling.
- What is the compensation for a Generalist Expert at Fleet AI?
- The base rate for a Generalist Expert at Fleet AI is $40 per hour. There are also occasional bonuses based on performance and project impact, along with a $200 referral bonus for successfully referring new experts.
- Does Fleet AI require specific educational credentials for the Generalist Expert role?
- Fleet AI encourages applications even if you don't meet every qualification. They place a higher value on demonstrated ability and how you think, rather than solely on credentials. The focus is on your practical skills and adaptability.
- What is the time commitment expected for a Fleet Fellowship Generalist Expert?
- There is a strong preference for candidates who can commit to at least 20 hours per week for Fleet Fellowship roles. The actual project scope and duration will vary.
- What does 'human-AI collaboration at scale' mean at Fleet AI?
- At Fleet AI, 'human-AI collaboration at scale' refers to building simulation environments where AI agents can practice real tasks. Humans then supervise, evaluate, and steer these AI agents, enabling AI systems to gain experience with real-world tools and workflows, making this capability accessible beyond the top 1%.