AI Trainer – Natural Language Processing

Job Overview

Location
Bengaluru, Karnataka, India
Job Type
FULL_TIME

Additional Details

Job ID
19070
Job Views
125

Job Description

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Job Summary

HR Service Jobs is looking for an enthusiastic and detail-oriented AI Trainer – Natural Language Processing (NLP) to help enhance and refine the performance of AI language models. In this role, you will analyze, train, and evaluate AI-generated outputs to improve the accuracy, tone, and contextual understanding of advanced AI systems. This is an ideal position for individuals passionate about artificial intelligence, linguistics, and data-driven problem-solving.

You will collaborate with data scientists, engineers, and linguists to train large language models by providing human feedback and ensuring the system produces relevant, coherent, and accurate responses across various domains.


Key Responsibilities

  • Train and fine-tune AI models using curated linguistic data and human feedback.

  • Evaluate AI-generated text outputs for accuracy, fluency, and contextual relevance.

  • Annotate and label datasets to support supervised learning models.

  • Develop prompts and evaluate model performance against linguistic benchmarks.

  • Collaborate with the AI research team to design experiments that enhance model understanding.

  • Identify inconsistencies, biases, and areas of improvement within AI responses.

  • Maintain documentation of training processes, evaluation metrics, and quality improvement strategies.

  • Stay up to date with trends and innovations in natural language processing, machine learning, and AI ethics.


Required Skills and Qualifications

  • Bachelors or Masters degree in Computer Science, Computational Linguistics, Artificial Intelligence, Data Science, or a related field.

  • Strong understanding of Natural Language Processing (NLP), machine learning fundamentals, and linguistic structures.

  • Excellent written and verbal communication skills in English.

  • Familiarity with Python, TensorFlow, PyTorch, or similar AI/ML tools is an advantage.

  • Ability to analyze complex text data and provide qualitative feedback.

  • Strong attention to detail with analytical and problem-solving capabilities.

  • Experience working with large datasets or text corpora.


Experience

  • Minimum 1–3 years of experience in AI model training, NLP research, data annotation, or related roles.

  • Freshers with strong academic backgrounds in NLP, linguistics, or AI research projects are encouraged to apply.


Working Hours

  • Flexible remote work schedule.

  • Full-time position (40 hours per week).

  • Occasional collaboration with global teams may require availability across time zones.


Knowledge, Skills, and Abilities

  • In-depth knowledge of semantics, syntax, and discourse analysis.

  • Understanding of AI ethics, model bias, and fairness principles.

  • Ability to think critically about language interpretation and machine learning behavior.

  • Strong collaboration skills with cross-functional teams in technical and linguistic domains.

  • Capability to translate complex AI behavior into actionable insights.


Benefits

  • Competitive salary package based on experience and expertise.

  • Fully remote and flexible work environment.

  • Opportunities to work with cutting-edge AI technologies and research projects.

  • Continuous learning and upskilling opportunities through workshops and certifications.

  • Inclusive and innovative workplace culture that values creativity and experimentation.


Why Join HR Service Jobs

At HR Service Jobs, we are shaping the future of artificial intelligence by combining human expertise with advanced machine learning. Joining our team means becoming part of a global mission to make AI systems more ethical, intelligent, and human-like. We offer a collaborative, research-driven environment where your insights directly influence the evolution of next-generation AI models.


How to Apply

Interested candidates should submit their updated resume and a brief cover letter highlighting relevant experience in NLP or AI model training to us.
Shortlisted candidates will be contacted for a technical assessment and interview.

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