1099 consultant · ~80–400 hrs per funded award · $70–$145/hr · Remote (U.S.)

Reinforcement Learning & Multi-Agent Autonomy Researcher

Keep our reinforcement-learning and multi-agent autonomy work honest — agents that beat a real baseline in a real environment, with the experiment design a reviewer can trust.

About Precision Federal

Precision Federal is a small business building AI, data and software systems for government agencies. The company’s founder loves God, and the company is built on Christian faith: every number we publish is real, every claim we make is verifiable, and the work is done with excellence as service to God. Faith is welcome here and openly shared.

How this role works

You join the bench. You apply with your weekly hours and start time. We set your hourly rate from your résumé, and we may name you on proposals that match this role. If we don't win, you owe nothing.
A contract is awarded. The award funds the team named in the proposal. Your engagement begins at the hourly rate we agreed on.
You work remote, paid from the contract. ~80–400 hrs per funded award — and if no award ever funds, you owe nothing and lose nothing.

What you'll do

Review our RL and multi-agent designs — reward, environment, baselines, seeds and evaluation protocol
Say where a simpler planner or a scripted behavior would win on the same task
Assess sim-to-real transfer, safety constraints and human-on-the-loop integration
Point us at the benchmark, environment or published baseline a reviewer will expect us to have beaten

Required qualifications

Direct research or engineering experience with reinforcement learning or multi-agent systems, with published or deployed results
Working knowledge of PPO, SAC, MARL frameworks, and standard environments and benchmarks
U.S. citizen or lawful permanent resident (U.S. person)
Willing to be named on a federal proposal with a one-page resume, and to sign a short letter of commitment

Preferred qualifications

Army, DARPA, AFRL or ONR autonomy program experience
Robotics or ROS 2 background — ground, air or maritime platforms
Peer-reviewed publication record

Compensation & structure

1099 consulting engagement. $70–$145 per hour; we set your rate from your résumé and experience. Hours are funded by federal contract awards — this seat is scoped at roughly 80–400 hours per funded award, fully remote. Work and pay begin only if the contract is awarded — no award, no hours, no obligation.

Join the bench — Reinforcement Learning & Multi-Agent Autonomy Researcher

Every application is read. It takes about 5 minutes.

This is a bench, not a job offer. Work starts when we win a contract that needs you.
We may name you on proposals. If that contract is awarded, you do the role at the rate and hours we agree on.
Paid hourly as a 1099 contractor; full-time roles may be W-2. If your background fits, we will email you.

First name *

Last name *

Email *

Phone *

Work authorization *

LinkedIn or portfolio link

What state do you live in? *

Resume (PDF or Word) *

Questions

Answer from your own experience. A few sentences each is plenty; be specific and tell us what you did yourself.

Precision Federal was founded on Christian values. Our faith in God shapes how we work: many of us openly share our personal faith, share our lives together, and pray for one another. We’re building a close-knit community where we truly care about each other. Taking part is always voluntary, and people of every faith and background are welcome. As we get to know you, you’re always welcome to share your own faith with us.

1. Cover letter. In your own words, tell us about yourself: what guides you (for many of us here, that’s our faith in God), your background, and why this role interests you. *

2. Describe the reinforcement learning or multi-agent project closest to this role: the environment, reward design, baselines and seeds, how you evaluated it, sim-to-real results if any, and your role. *

Availability

Pay for this role: $70–$145 an hour, set by your experience.

Hours per week you could give on an awarded contract (all part-time, up to 30) *

If you are named and we win, will you be able to start within a few weeks? *

May we name you on proposals for this role, and if we win, will you do the work at the rate we agree on? *

I agree to the Applicant Terms. *

Questions? careers@precisionfederal.com · See all open roles