OxarizResearch expertise. Reliable delivery.
Our 30-person internal team works with a network of 1,000+ experts from top colleges across computer science, robotics, and other technical disciplines. We combine deep subject knowledge with a shared commitment to delivering high-quality content that meets our clients’ requirements and timelines.
30 internal team members. 1,000+ experts. Shared commitment.
Our network brings together experts from top colleges, including many PhD holders and master’s degree holders. Their academic training and research experience bring depth to the work: understanding complex problems, evaluating evidence, and explaining technical ideas with clarity and precision. With expertise spanning computer science, robotics, and related fields, our team brings a multidisciplinary perspective to each client’s needs.
We have partnered with 200+ companies for data sourcing and talent, connecting business needs with specialist expertise and workforce support. Delivering the right content on time is central to how we work. We approach each engagement as one coordinated team, aligning our expertise with the client’s requirements and agreed deadlines. Our focus is on combining technical accuracy, clear communication, and dependable execution so clients receive work they can use, when they need it.
Quality-first process
Every annotator clears a domain-specific probe before they touch a real project. Continuous calibration on hidden gold tasks follows them across engagements.
On-time delivery
We work toward agreed timelines with a clear understanding of the required content. Team coordination and regular communication keep delivery focused on your priorities, with quality at the center of the process.
Multidisciplinary expertise
Our 30-person internal team coordinates a network of 1,000+ experts across computer science, robotics, and related technical domains. Experts from top colleges, including many PhD holders and master’s degree holders, bring research depth and practical expertise to each engagement.
Cost-effective at scale
Tiered staffing and reusable rubric infrastructure keep per-example cost predictable as the program scales.
Where the network goes deep.
Four core specialties, each led by a senior in the field who writes the probes and owns quality end-to-end.
LLM data trainers
Generalists across RLHF, instruction tuning, and preference labeling. Strong English, prompt-engineering literate, attentive to nuance.
- RLHF
- Preference data
- Prompt design
Code data specialists
Senior engineers writing clean, well-documented code across languages. Algorithms, code review, software testing.
- Python
- JavaScript
- Algorithms
- Code review
STEM domain annotators
MS/PhD-level experts in math, physics, chemistry, biology, and CS. Multi-step problem authoring, verifiable answers.
- Mathematics
- Physics
- Chemistry
- Biology
- CS
Safety & alignment
Researchers with backgrounds in AI safety, ethics, or trust & safety. Adversarial thinking calibrated against helpfulness.
- Red-teaming
- Refusal training
- Content moderation
How we vet.
Every annotator clears a three-stage process before they touch real data. Calibration follows them across projects.
Credential review
Documents, publications, and prior work checked by the domain lead before the candidate sees any real data.
Domain probe
A paid probe authored by a senior in the field, scored blind by two reviewers. Arbitration on disagreement.
Continuous calibration
Hidden gold tasks score every active annotator across projects. Reliability ratings inform routing and pay tier.
What the work looks like.
- ─Top of market rates
- ─Flexible hours, set your own schedule
- ─Remote-first — work from anywhere
- ─Full-time or part-time (10+ hrs/week)
- ─Real impact on how frontier models learn
Apply once.
We'll match you to projects whose rate and rhythm fit your depth. Set your own schedule — minimum 10–20 hours/week.