Machine Intelligence Analyst (Bangalore Division)
Machine Intelligence Analyst (Bangalore Division)
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Bangalore Division, India
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Posted: less than a week ago
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Description
Hello Greetings from ZettaMine Labs Pvt Ltd!! We are looking for Machine Intelligence Analyst for PAN India. Looking only for Immediate Joiners Job Role : Machine Intelligence Analyst Location : PAN India Notice Period : NA( As it is for Gig Workers) Experience : 2 to 4 years Relevant Exp : Minimum of 2 Years Experience in below list Skills ✓ LLM internals (transformers, RLHF, attention) ✓ Multi-modal AI systems ✓ Adversarial ML & red-teaming ✓ Inter-rater agreement metrics ✓ NLP and computational linguistics ✓ Safety evaluation & responsible AI ✓ Prompt engineering & instruction evaluation ✓ Python scripting & statistical analysis. Mandatory :
- PhD in CS, ML, Computational Linguistics, Cognitive Science, or Mathematics (MS with exceptional industry/research experience considered)
- 2–3+ years in AI/ML research, model evaluation, or applied NLP; demonstrated experience with LLM fine-tuning, alignment, or evaluation datasets Job Description: As a Machine Intelligence Analyst, you will serve as a high-signal evaluator and adversarial tester for large language models and multi-modal AI systems. Working alongside frontier AI researchers and ML engineers, you will produce gold-standard evaluation data, surface failure modes, and stress-test model safety boundaries. Your expert judgment directly shapes the quality of AI systems used by the world’s leading technology organisations. Key Responsibilities: LLM Evaluation & Alignment
- Conduct expert preference annotation and comparative evaluation for RLHF and RLAIF pipelines; assess outputs for accuracy, reasoning quality, coherence, and intent alignment
- Generate and annotate SFT datasets; rate instruction-following quality, chain-of-thought correctness, and response calibration Adversarial Safety & Red-Teaming
- Design and execute adversarial prompts to probe safety boundaries and jailbreak vectors; identify hallucination patterns, refusal evasion, and harmful output pathways
- Contribute to safety evaluation rubrics, adversarial scenario libraries, and structured vulnerability documentation Multi-Modal Annotation & Quality
- Annotate and evaluate text, image, audio, and video model outputs; apply domain knowledge (science, law, medicine, code, linguistics) to nuanced tasks
- Uphold 98%+ accuracy; participate in inter-rater calibration; leverage Platina’s AI-assisted tooling to maximise throughput. Please provide following detail along with your updated profile to Primary Skill
- Total Experience
- Relevant Experience : Current location Highest Qualificaiton: Expertise/Stream: Domain : I will be reaching out to you over a call or email as soon as possible. Thanks & Regards, Vyshnavi Apply on Kit Job: kitjob.in/job/4mobwt
- PhD in CS, ML, Computational Linguistics, Cognitive Science, or Mathematics (MS with exceptional industry/research experience considered)
- 2–3+ years in AI/ML research, model evaluation, or applied NLP; demonstrated experience with LLM fine-tuning, alignment, or evaluation datasets Job Description: As a Machine Intelligence Analyst, you will serve as a high-signal evaluator and adversarial tester for large language models and multi-modal AI systems. Working alongside frontier AI researchers and ML engineers, you will produce gold-standard evaluation data, surface failure modes, and stress-test model safety boundaries. Your expert judgment directly shapes the quality of AI systems used by the world’s leading technology organisations. Key Responsibilities: LLM Evaluation & Alignment
- Conduct expert preference annotation and comparative evaluation for RLHF and RLAIF pipelines; assess outputs for accuracy, reasoning quality, coherence, and intent alignment
- Generate and annotate SFT datasets; rate instruction-following quality, chain-of-thought correctness, and response calibration Adversarial Safety & Red-Teaming
- Design and execute adversarial prompts to probe safety boundaries and jailbreak vectors; identify hallucination patterns, refusal evasion, and harmful output pathways
- Contribute to safety evaluation rubrics, adversarial scenario libraries, and structured vulnerability documentation Multi-Modal Annotation & Quality
- Annotate and evaluate text, image, audio, and video model outputs; apply domain knowledge (science, law, medicine, code, linguistics) to nuanced tasks
- Uphold 98%+ accuracy; participate in inter-rater calibration; leverage Platina’s AI-assisted tooling to maximise throughput. Please provide following detail along with your updated profile to Primary Skill
- Total Experience
- Relevant Experience : Current location Highest Qualificaiton: Expertise/Stream: Domain : I will be reaching out to you over a call or email as soon as possible. Thanks & Regards, Vyshnavi Apply on Kit Job: kitjob.in/job/4mobwt
Highlights
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Company nameZettaMine Labs
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Job positionMachine Intelligence Analyst (Bangalore Division)
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