Actively hiring
Reinforcement Learning
AI Training Data & Annotation
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Technologies
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Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Hiring now
9
open roles
Backers
1
Y Combinator
Momentum
15/100
in the news
Last sign of life
1 mo ago
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
Oct 2024
Went through Y Combinator
Tractionpublic signals, read monthly
Web presence
top 7%
of 133.2M domains by links, Common Crawl
Hacker News stories
1
best: 17 points
Backed byfrom the funds' portfolios and accelerator catalogs
Investors in similar startupsfunds that back the companies most like this one

backs Traverse

backs Preference Model
Similar startupsby what they do, their industry and backers

Preference Model is building the next generation of training data to power the future of AI, creating reinforcement learning environments…

Push the frontier of your model. Reinforcement learning environments built from real production work.

Traverse.so builds reinforcement learning environments and training data that help frontier AI labs teach models taste, judgment, and…

We are an applied research lab building novel data harvesting techniques.

Recurvia is a deep reinforcement learning lab building models that improve and accelerate other models, and the AI-native instrumentation…

Aviro designs challenging worlds for AI models to explore and solve problems, delivered as post-training datasets and reinforcement…
Overview
Abundant is an applied research lab focused on scaling reinforcement learning for safe and reliable agentic capabilities. It provides environments and datasets for reinforcement learning to leading AI labs and hires researchers and alignment specialists. The company is headquartered in San Francisco, United States.
Connections
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Found in company registers, site code, DNS and hiring. Each connection shows how sure we are and the evidence, with its source and date.
Shared investors

Y CombinatorVia a fund
6188 portfolio companies
Click a company to open it. Dashed lines are likely connections. The second step of the network is part of the Pro plan.
Owner
Same company
Same group
Likely
News
Report
When code is abundant
Producing code is getting cheap. Trusting it is not. Why enterprises need a durable layer of context, verification, and governance around AI agents.
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When Intelligence Becomes Abundant, Architecture Becomes the Constraint
Why AI agents will hit diminishing returns, and why the architecture underneath them is what has to change.
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Harjot Gill (@harjotsgill) on X
Code is abundant. Judgment is scarce. We raised $143 million to help it scale.
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Ideas are abundant. Friction is evidence. - Jay
Your first company can start with a problem you already feel, and the tools you need while solving it.
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Report
When Cognitive Labor Becomes Abundant
A year ago, I wrote about the revenge of the generalist.
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Geothermal energy: Investment needed to develop new tech
Start-ups are taking fresh approaches to geothermal energy, but will the economics work?
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Geothermal energy: Investment needed to develop new tech
Start-ups are taking fresh approaches to geothermal energy, but will the economics work?
Read more
Report
Abundant Mines Wins Inaugural Satos Award For Mining & Energy
Oregon-based bitcoin mining company wins industry-voted accolade, demonstrating dedication toward operational excellence and transparency.
Read more
Report
Show more news
Tech stack
Technologies named in job postings at Abundant over the last 12 months, by layer, with the share of postings for each.
Technologies in use
19
Postings analysed
9
Stack modernity
68/100AI adopter
Languages
Python
Cloud & platforms
AWS
AI & ML
LLM
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Full Abundant tech stack
19 technologies · by team · pay by technology · changes · similar stacks
Growth
Hiring Momentum
38/100
Slowing
Open positions
9
0 opened / 0 closed in 30 days
ATS activity
Every ~4 hours
Today
Hiring Dynamics
0%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
AI/ML
43% ▼
DevOps
29% ▼
HR
14% ▼
Science & Research
14% ▼
Activity Timeline
Added Python to stack
Sep 2026
Added RLHF to stack
Sep 2026
Added RLAIF to stack
Sep 2026
Added Reinforcement Learning to stack
Sep 2026
Added Red Teaming to stack
Sep 2026
Added LLM to stack
Sep 2026
Added Interpretability to stack
Sep 2026
Added BERT to stack
Sep 2026
Added AI Agents to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
2
Hiring now
2
Countries
2
Busiest office
San Francisco
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San Francisco
United States
HQ
7 open roles 5 posted in 90 days 71% engineering
hires for AI/ML, DevOps, Product
Dublin
Ireland
Engineering / R&D
2 open roles 2 posted in 90 days 100% engineering
hires for AI/ML, DevOps
Jobs
≈ $205k – $407k per year (Estimated) · In office · Full-Time · San Francisco
RLHF
Reinforcement Learning
Knowledge Distillation
AI Agents
LLM
Post-training
Red Teaming
Interpretability
Model Distillation
RLAIF
Apply
In office · Internship · San Francisco
Multimodal AI
Knowledge Distillation
NLP
Synthetic Data
SFT
Post-training
Physical AI
Model Distillation
DevOps
AWS
Apply
≈ $167k – $325k per year (Estimated) · In office · Full-Time · San Francisco
Claude Code
OpenAI Codex
Apply
≈ $91k – $218k per year (Estimated) · In office · Full-Time · Dublin
Claude Code
OpenAI Codex
Apply
≈ $120k – $276k per year (Estimated) · In office · Full-Time · PhD · Dublin
Python
RLHF
Reinforcement Learning
Knowledge Distillation
AI Agents
NLP
Post-training
Model Distillation
RLAIF
Apply
≈ $152k – $324k per year (Estimated) · In office · Full-Time · San Francisco
Claude Code
Reinforcement Learning
AI Agents
OpenAI Codex
Apply
≈ $203k – $405k per year (Estimated) · In office · Full-Time · PhD · San Francisco
Python
RLHF
Reinforcement Learning
Knowledge Distillation
AI Agents
NLP
Post-training
Model Distillation
RLAIF
Apply




