Now prioritizing candidates with a research, simulation, or systems focus!
List of accepted countries and locations
If you’ve worked in academic labs, simulation environments, or low-level performance engineering, this role is built for you.
Help train large-language models (LLMs) to write clean, high-performance scientific code.
Your expertise will support this feedback loop:
Compare & rank AI-generated code used in scientific or data-heavy environments
Repair & refactor code in MATLAB, Zig, or related tools
Inject feedback to help the model learn how to reason through complex logic
End result: The model gets better at working in research, simulation, or performance-critical domains.
What You’ll Need
3+ years of software engineering experience in Python
Familiarity with MATLAB (academic/research) or Zig (low-level performance)
Ability to assess and explain code quality with precision
Excellent written communication and attention to detail
Comfortable in async, remote workflows
What You Don’t Need
No RLHF or machine learning experience required
Tech Stack
We're looking for strength in MATLAB, Zig, or scientific computing tools.
Logistics
Location: Fully remote — work from anywhere
Compensation: $30–$70/hr depending on location and seniority
Hours: Minimum 15 hrs/week, up to 40 hrs/week available
Engagement: 1099 contract
Straightforward impact. Zero fluff.
If this sounds like a fit, apply here!
Now prioritizing candidates with a research, simulation, or systems focus!
List of accepted countries and locations
If you’ve worked in academic labs, simulation environments, or low-level performance engineering, this role is built for you.
Help train large-language models (LLMs) to write clean, high-performance scientific code.
Your expertise will support this feedback loop:
Compare & rank AI-generated code used in scientific or data-heavy environments
Repair & refactor code in MATLAB, Zig, or related tools
Inject feedback to help the model learn how to reason through complex logic
End result: The model gets better at working in research, simulation, or performance-critical domains.
What You’ll Need
3+ years of software engineering experience in Python
Familiarity with MATLAB (academic/research) or Zig (low-level performance)
Ability to assess and explain code quality with precision
Excellent written communication and attention to detail
Comfortable in async, remote workflows
What You Don’t Need
No RLHF or machine learning experience required
Tech Stack
We're looking for strength in MATLAB, Zig, or scientific computing tools.
Logistics
Location: Fully remote — work from anywhere
Compensation: $30–$70/hr depending on location and seniority
Hours: Minimum 15 hrs/week, up to 40 hrs/week available
Engagement: 1099 contract
Straightforward impact. Zero fluff.
If this sounds like a fit, apply here!
Now prioritizing candidates with a research, simulation, or systems focus!
List of accepted countries and locations
If you’ve worked in academic labs, simulation environments, or low-level performance engineering, this role is built for you.
Help train large-language models (LLMs) to write clean, high-performance scientific code.
Your expertise will support this feedback loop:
Compare & rank AI-generated code used in scientific or data-heavy environments
Repair & refactor code in MATLAB, Zig, or related tools
Inject feedback to help the model learn how to reason through complex logic
End result: The model gets better at working in research, simulation, or performance-critical domains.
What You’ll Need
3+ years of software engineering experience in Python
Familiarity with MATLAB (academic/research) or Zig (low-level performance)
Ability to assess and explain code quality with precision
Excellent written communication and attention to detail
Comfortable in async, remote workflows
What You Don’t Need
No RLHF or machine learning experience required
Tech Stack
We're looking for strength in MATLAB, Zig, or scientific computing tools.
Logistics
Location: Fully remote — work from anywhere
Compensation: $30–$70/hr depending on location and seniority
Hours: Minimum 15 hrs/week, up to 40 hrs/week available
Engagement: 1099 contract
Straightforward impact. Zero fluff.
If this sounds like a fit, apply here!
Now prioritizing engineers with infrastructure and automation experience!
List of accepted countries and locations
If you're comfortable working with IaC tools, build systems, or CI/CD pipelines—and you enjoy reviewing and explaining code—we’d love to hear from you.
Help train large-language models (LLMs) to write production-grade infrastructure code.
You’ll play a key role in the human feedback loop:
Compare & rank IaC scripts or automation logic, explaining which is best and why
Repair & refactor AI-generated Bash, Terraform, and config files for correctness and efficiency
Inject feedback (ratings, edits, test results) into the RLHF pipeline to keep it running smoothly
End result: The model learns to provision, configure, and automate the way you do.
What You’ll Need
3+ years of professional experience in DevOps, SRE, or platform engineering
Proficiency in one of more of the following Bash, Shell, Terraform, YAML, HCL, or CMake
Strong instincts for debugging and refactoring automation code
Excellent written communication—explaining why it matters a lot here
Comfort working in an async, low-oversight environment
What You Don’t Need
No prior RLHF (Reinforcement Learning with Human Feedback) or AI experience
No deep machine learning background—we’ll teach you how the system works
Tech Stack
Python for core tasks; IaC, shell, and build tooling are your domain.
Logistics
Location: Fully remote — work from anywhere
Compensation: $30–$70/hr depending on location and seniority
Hours: Minimum 15 hrs/week, up to 40 hrs/week available
Engagement: 1099 contract
Straightforward impact. Zero fluff.
If this sounds like a fit, apply here!
Now prioritizing candidates with a research, simulation, or systems focus!
List of accepted countries and locations
If you’ve worked in academic labs, simulation environments, or low-level performance engineering, this role is built for you.
Help train large-language models (LLMs) to write clean, high-performance scientific code.
Your expertise will support this feedback loop:
Compare & rank AI-generated code used in scientific or data-heavy environments
Repair & refactor code in MATLAB, Zig, or related tools
Inject feedback to help the model learn how to reason through complex logic
End result: The model gets better at working in research, simulation, or performance-critical domains.
What You’ll Need
3+ years of software engineering experience in Python
Familiarity with MATLAB (academic/research) or Zig (low-level performance)
Ability to assess and explain code quality with precision
Excellent written communication and attention to detail
Comfortable in async, remote workflows
What You Don’t Need
No RLHF or machine learning experience required
Tech Stack
We're looking for strength in MATLAB, Zig, or scientific computing tools.
Logistics
Location: Fully remote — work from anywhere
Compensation: $30–$70/hr depending on location and seniority
Hours: Minimum 15 hrs/week, up to 40 hrs/week available
Engagement: 1099 contract
Straightforward impact. Zero fluff.
If this sounds like a fit, apply here!
Now prioritizing engineers who’ve worked with frontend templates or automated scripts.
List of accepted countries and locations
If you’ve written Handlebars templates or built workflow tools with Google Apps Script, this role is for you.
Help train large-language models (LLMs) to generate maintainable UI and workflow automation code.
You’ll engage in the human feedback loop:
Compare & rank templating or automation scripts, explaining your reasoning
Repair & refactor AI-generated code for logic, structure, and best practices
Inject feedback to guide how the model writes and fixes real-world frontend/automation logic
End result: The model learns to write scripts and templates you’d actually ship.
What You’ll Need
3+ years of software engineering experience, ideally with UI or scripting tools
Familiarity with Handlebars, Google Apps Script, or similar templating/automation stacks
A sharp eye for code quality and the ability to justify changes clearly
Enjoy asynchronous collaboration and independent work
What You Don’t Need
No prior experience with RLHF, AI, or ML required
Tech Stack
You’ll be focused on legacy front-end and workflow scripting technologies.
Logistics
Location: Fully remote — work from anywhere
Compensation: $30–$70/hr depending on location and seniority
Hours: Minimum 15 hrs/week, up to 40 hrs/week available
Engagement: 1099 contract
Straightforward impact. Zero fluff.
If this sounds like a fit, apply here!
Now prioritizing candidates with a research, simulation, or systems focus!
List of accepted countries and locations
If you’ve worked in academic labs, simulation environments, or low-level performance engineering, this role is built for you.
Help train large-language models (LLMs) to write clean, high-performance scientific code.
Your expertise will support this feedback loop:
Compare & rank AI-generated code used in scientific or data-heavy environments
Repair & refactor code in MATLAB, Zig, or related tools
Inject feedback to help the model learn how to reason through complex logic
End result: The model gets better at working in research, simulation, or performance-critical domains.
What You’ll Need
3+ years of software engineering experience in Python
Familiarity with MATLAB (academic/research) or Zig (low-level performance)
Ability to assess and explain code quality with precision
Excellent written communication and attention to detail
Comfortable in async, remote workflows
What You Don’t Need
No RLHF or machine learning experience required
Tech Stack
We're looking for strength in MATLAB, Zig, or scientific computing tools.
Logistics
Location: Fully remote — work from anywhere
Compensation: $30–$70/hr depending on location and seniority
Hours: Minimum 15 hrs/week, up to 40 hrs/week available
Engagement: 1099 contract
Straightforward impact. Zero fluff.
If this sounds like a fit, apply here!
Now prioritizing candidates with a research, simulation, or systems focus!
List of accepted countries and locations
If you’ve worked in academic labs, simulation environments, or low-level performance engineering, this role is built for you.
Help train large-language models (LLMs) to write clean, high-performance scientific code.
Your expertise will support this feedback loop:
Compare & rank AI-generated code used in scientific or data-heavy environments
Repair & refactor code in MATLAB, Zig, or related tools
Inject feedback to help the model learn how to reason through complex logic
End result: The model gets better at working in research, simulation, or performance-critical domains.
What You’ll Need
3+ years of software engineering experience in Python
Familiarity with MATLAB (academic/research) or Zig (low-level performance)
Ability to assess and explain code quality with precision
Excellent written communication and attention to detail
Comfortable in async, remote workflows
What You Don’t Need
No RLHF or machine learning experience required
Tech Stack
We're looking for strength in MATLAB, Zig, or scientific computing tools.
Logistics
Location: Fully remote — work from anywhere
Compensation: $30–$70/hr depending on location and seniority
Hours: Minimum 15 hrs/week, up to 40 hrs/week available
Engagement: 1099 contract
Straightforward impact. Zero fluff.
If this sounds like a fit, apply here!
Now prioritizing developers with experience in game scripting or creative tech!
List of accepted countries and locations
If you’ve built games, contributed to a MUD, or worked with a game engine like Godot, your skills are highly relevant here.
Help train large-language models (LLMs) to generate smart, playable game code.
You’ll participate in the human feedback loop:
Compare & rank code snippets for game logic, scripting, or scene-building
Repair & refactor AI-generated code in Lua, GDScript, or LPC for correctness and clarity
Inject feedback into the RLHF system to shape how the model reasons about code
End result: The model learns how to write, critique, and debug game code like a real developer.
What You’ll Need
3+ years of hands-on development experience (indie game dev counts!)
Familiarity with Lua, GDScript, or LPC/MudOS
Strong instincts for debugging gameplay or scripting bugs
Clarity in writing—this job is about explaining what’s wrong and why
Happy working asynchronously in a remote setup
What You Don’t Need
No prior AI/ML/RLHF background required
Tech Stack
We welcome experience with scripting languages, game engines, and custom tooling.
Logistics
Location: Fully remote — work from anywhere
Compensation: $30–$70/hr depending on location and seniority
Hours: Minimum 15 hrs/week, up to 40 hrs/week available
Engagement: 1099 contract
Straightforward impact. Zero fluff.
If this sounds like a fit, apply here!
Now prioritizing candidates with a research, simulation, or systems focus!
List of accepted countries and locations
If you’ve worked in academic labs, simulation environments, or low-level performance engineering, this role is built for you.
Help train large-language models (LLMs) to write clean, high-performance scientific code.
Your expertise will support this feedback loop:
Compare & rank AI-generated code used in scientific or data-heavy environments
Repair & refactor code in MATLAB, Zig, or related tools
Inject feedback to help the model learn how to reason through complex logic
End result: The model gets better at working in research, simulation, or performance-critical domains.
What You’ll Need
3+ years of software engineering experience in Python
Familiarity with MATLAB (academic/research) or Zig (low-level performance)
Ability to assess and explain code quality with precision
Excellent written communication and attention to detail
Comfortable in async, remote workflows
What You Don’t Need
No RLHF or machine learning experience required
Tech Stack
We're looking for strength in MATLAB, Zig, or scientific computing tools.
Logistics
Location: Fully remote — work from anywhere
Compensation: $30–$70/hr depending on location and seniority
Hours: Minimum 15 hrs/week, up to 40 hrs/week available
Engagement: 1099 contract
Straightforward impact. Zero fluff.
If this sounds like a fit, apply here!
