We are seeking an Algorithmic Problem Solving Annotator with a competitive programming background and strong DSA fundamentals. The role focuses on validating algorithmic solutions, checking edge cases, analyzing complexity, and annotating reasoning steps for coding/DSA datasets.
Key Responsibilities
- Validate solutions involving data structures, algorithms, and competitive programming logic.
- Check edge cases, constraints, time/space complexity, and correctness of code answers.
- Analyze reasoning steps and detect flaws in logic or incomplete arguments.
- Debug code in C++/Python/Java and analyze multi-step reasoning.
- Produce gold explanations and corrected approaches where required.
- Collaborate with coding reasoning teams to maintain consistent dataset quality.
Skills &
Experience Required
- 1- 4 years coding experience inC++/Python/Javawith competitive programming or contest background.
- Strong grasp ofDSA, problem-solving, complexity analysis, and algorithm correctness.
- Ability to reason through multi-step solutions and detect logical gaps.
- Skilled in debugging and validating contest-level code.
Why Join Us?
- Work on high-impact projects that contribute to building AI for Positive.
- Collaborate with top-tier engineers and domain experts from IITs, NITs, and BITS.
- Opportunity to grow in a fast-paced, innovation-driven environment.
📌 Algorithmic Problem Solving Annotator (Competitive Programming) (Delhi)
🏢 Soul AI
📍 Delhi
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