
Algorithms & Data Structures Annotation
Strong problem solvers who write, verify and grade algorithmic solutions so models learn to reason about code, not just reproduce it.
Industry
Algorithms
Timeline
Pilot batch first
Platform
Problem solving and reasoning
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Experts Assessed
Percent of experts assessed before joining a project.
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Point of Contact
Point of contact for sourcing, quality and delivery.
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Review Layers
Layers of review on every batch.
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Task Types
Core task types: code review, bug fixing, prompt writing and rubric grading.
Every expert passes a hands-on technical assessment before they touch your data.
The Ompliify quality standard
How we qualify experts
Algorithmic problems test whether a model can reason step by step. Verifying a solution takes someone who can spot a wrong approach that happens to pass the obvious cases.



We source engineers with strong fundamentals in data structures and algorithms and assess them on problems at the difficulty your project needs.
Typical work includes writing new problems, producing and checking step-by-step reasoning, comparing solutions for correctness and efficiency, and grading outputs against a rubric.

Solvers are assessed on problems at your target difficulty.
Solutions are independently verified before delivery.
Calibration rounds keep difficulty and grading consistent.
We add or reduce capacity as your needs change.
Disagreements between reviewers are adjudicated, and the outcomes feed back into clearer guidelines.
Tell us the difficulty range, languages and volume you want and we will scope a pilot.


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