6 Active Projects on Alignerr Right Now [March 2026]
Alignerr does not just post generic job listings. It runs named projects — Prism, Code Human, Rainforest, and more. Here is what each one actually involves, who qualifies, and how to apply directly.
Most people apply to Alignerr for a generic title like "AI Training Specialist" or "Data Labeling Specialist." What they don't realize is that those are just the front door. Once you are inside, the real work happens on named projects — each with a specific discipline, skill requirement, and pay structure.
Right now there are six active projects running on Alignerr. Some are open to anyone. Some require niche credentials. And a few — like Code Human and Project Prism — are only offered to the platform's most qualified contributors.
This guide breaks down each project: what the work actually involves, who it is designed for, and how to apply directly.
How Alignerr Projects Work
Alignerr is the talent network built on top of Labelbox, the data infrastructure platform. When you apply, you go through a screening and a Zara video interview. After that, you are not automatically given work — you are placed in a pool and matched to active projects based on your skills and assessment scores.
Important: The Assessment Comes First
You cannot jump straight into a named project. All contributors must first pass the Alignerr assessment and Zara video interview before being eligible for any project. If you have not started yet, use the referral links below — they are specific to each project.
| Project | Domain | Pay | Difficulty |
|---|---|---|---|
| Gamechanger — Lua Project | Game Dev / Coding | $40–$120/hr | Intermediate |
| ATC Transcription Project | Aviation / Audio | $20–$30/hr | Specialist |
| Project Prism | AI Evaluation | $40–$120/hr | Advanced |
| Code Human Project | Software Engineering | $40–$120/hr | Advanced |
| Project Rainforest | Voice Acting | Per approved task | Beginner |
| PR Writer w/ Feedback Project | Code Review | $40–$120/hr | Advanced |
Gamechanger — Lua Project
This project targets Lua developers and game programmers. Your job is to build real gameplay systems — not toy examples — that help AI learn how experienced game developers write production-quality code.
What the Work Involves
- → Design and implement gameplay systems in Lua
- → Write clean, idiomatic game logic and design systems
- → Create unit tests that match how senior devs work
- → Demonstrate how interactive, complex elements are built
Who Should Apply
- ✓ Lua developers (professional or hobbyist)
- ✓ Game developers familiar with gameplay systems
- ✓ Anyone who can write and test game logic from scratch
Note: You don't need a shipped title. You need to be able to write the code.
ATC Transcription Project
This project is building AI for the aviation industry — specifically, systems that can understand and process real air traffic control (ATC) audio. The work involves transcribing genuine tower-to-pilot recordings with professional-grade accuracy.
This one is niche — but that is the point.
Alignerr isn't looking for fast typists here. The audio contains heavy accents, background noise, fast-paced phraseology, and aviation-specific callsigns. Only someone with real ATC or aviation experience can do this accurately.
What the Work Involves
- → Transcribe real ATC-to-pilot audio recordings
- → Label speakers and accurately capture callsigns
- → Handle aviation-specific abbreviations and phraseology
- → Deliver high-accuracy transcripts per formatting guidelines
Who Should Apply
- ✓ Air traffic controllers (active or retired)
- ✓ Pilots, flight instructors, or dispatchers
- ✓ Anyone with strong ATC communication experience
- ✓ Bonus: prior transcription or annotation experience
Project Prism
Project Prism is not data annotation. It is adversarial AI evaluation — the job of designing prompts so challenging that state-of-the-art models fail them. If you like poking holes in AI reasoning, this is the project for you.
The goal is simple to describe and hard to execute: craft a prompt with a structured rubric where at least two out of three leading AI models cannot meet the standard. Then write a clear, evidence-based justification for why they failed.
What a Prism Task Looks Like
- You write the prompt. It needs to require specialist knowledge, multi-step reasoning, or both. The goal is to expose genuine limitations — not trick questions.
- You write the rubric. Define exactly what a correct answer looks like, with clear, measurable criteria.
- You test it against top models. Submit it and verify that at least two SOTA models genuinely fail your rubric.
- You write the justification. Explain specifically where and why each model fell short.
Who This Is For
Code Human Project
Code Human is Alignerr's flagship coding evaluation project. Contributors act as senior software engineers — prompting AI models to solve real-world coding problems, comparing outputs, and providing the detailed technical feedback that trains the next generation of coding assistants.
Step 1
Prompt the Models
Give two competing AI models a real coding task — something from your own work experience
Step 2
Compare Outputs
Evaluate both responses for correctness, efficiency, and code quality
Step 3
Write Feedback
Explain precisely why one is better — in language a human engineer would write
Languages & Domains Covered
Project Rainforest
Project Rainforest is Alignerr's voice data project. You record expressive, high-quality audio samples that are used to train AI voice systems — the kind behind virtual assistants, narrators, and conversational AI models.
Unlike the coding or evaluation projects, Rainforest is genuinely beginner-friendly. No technical background required. What you need is a clear voice, a quiet space, and the ability to follow audio recording guidelines.
Task Types
- → Utterances: Short phrases and sentences for voice model training
- → Stories: Longer expressive narration passages
- → Background: Environmental and ambient audio recordings
What You Need
- ✓ Clear speaking voice (any accent)
- ✓ Quiet room with minimal echo
- ✓ Reliable internet for uploads
- ✗ No prior experience required
PR Writer w/ Feedback Project
This project focuses on a very specific slice of software engineering: the pull request. You review AI-generated PRs as if you were a senior engineer on a team, evaluate the quality of the code changes, and provide written feedback that trains AI to write and review code the way professionals actually do.
What You Are Actually Evaluating
The feedback you write is the core deliverable. Alignerr uses it to teach AI what a thoughtful, senior-level code review actually looks like — not just "LGTM" or vague comments, but specific, reasoned, constructive critique.
Which Project Is Right for You?
The right project depends less on what pays the most and more on what you can actually do well. Alignerr quality-scores everything — a shaky performance on a hard project pays less (and risks your account) compared to a strong performance on the right one.
If you write Lua or build games
Start with Gamechanger — Lua Project. It rewards practical game dev knowledge and does not require academic credentials.
If you have aviation experience
ATC Transcription Project is one of the few AI training projects where domain expertise is genuinely mandatory. That scarcity is reflected in the low competition for spots.
If you have deep domain knowledge in any field
Project Prism values specialist expertise over specific technical skills. Lawyers, scientists, historians, and engineers all qualify — as long as you can build a rigorous argument.
If you are a software engineer
Apply to both Code Human Project and PR Writer w/ Feedback Project. They target the same audience but from different angles — one focuses on task evaluation, the other on code review feedback.
If you just want to get started
Project Rainforest has the lowest barrier. If you have a decent microphone and a quiet room, you can start contributing immediately after passing the base assessment.
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