Ai/ml Data Labelling Agent
2 weeks ago
Key Responsibilities:
- Error Analysis and Root Cause Investigation: Labeller should be able to
perform a detailed error analysis, cluster errors by type (e.g., factual errors,
hallucinations, misinterpretations), and propose actionable remediation steps.
- Fine-Tuning Impact Analysis: Labeller should be able to evaluate pre and
post-fine-tuning model outputs and compare the results and share the
findings.
- Multi-Turn Conversation Analysis: Should be able to analyze the
conversation logs between users and the shopping assistant over multiple
turns and see how the context is maintained or lost over the dialogue and
propose strategies or prompt modifications to improve context retention
- Prompt Engineering Research: Should be able to experiment with multiple
variations of a prompt for complex eComm queries
- Custom Benchmark Creation: Develop datasets for evaluating an LLM’s
performance, including designing test cases for various subtask
- Cross-Domain Robustness Analysis: Evaluate and compare the LLM’s
performance across these categories/Intents, identify any domain-specific
failure modes,
- Error Attribution and Mitigation: Should analyze and identify if any model
assumptions are leading to specific errors and propose solutions
- Prompt Design, Evaluation and Refinement with Human-in-the-Loop:
Knowledge to improve the existing prompts and come with prompts that
expose model weaknesses and also the ability to structure iterative prompt
refinement processes with measurable outcomes
**Mode: Work from home**
**Location: Kolkata**
**Degree: Master’s degree (M.Tech/MSc) or Bachelor's degree (BE/BTech)**
**Job Types**: Full-time, Permanent
Pay: ₹10,800.00 - ₹14,700.00 per month
**Benefits**:
- Health insurance
- Provident Fund
Schedule:
- Day shift
Work Location: Remote
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