Scaler AI Labs Hiring Data Scientist and Research Scientist Internship for 6 months starting January 2026. Hiring Scaler AI Labs offers opportunities in India for STEM graduates.

Scaler AI Labs Hiring in India has announced exciting opportunities for aspiring data scientists and researchers. Scaler AI Labs Hiring For Data Scientist and Research Scientist Internship positions offers a 6-month full-time program starting January 2026. This internship provides hands-on experience in cutting-edge AI research, working on real-world enterprise use cases, dataset creation, and model fine-tuning. Students and graduates with STEM backgrounds can apply to join one of India’s emerging AI research organizations and contribute to advanced machine learning projects.

About the Internship

Hiring Scaler AI Labs is seeking talented individuals passionate about artificial intelligence and machine learning. This 6-month internship program is designed for students and recent graduates who want to gain practical experience in AI research and development. The position is based in India and offers exposure to frontier AI models and enterprise-grade applications.

Scaler AI Labs in India focuses on building innovative AI solutions that address real-world industry challenges. Interns will work alongside experienced researchers and data scientists on projects that directly impact enterprise AI capabilities.

Key Responsibilities

As a Data Scientist or Research Scientist Intern at Scaler AI Labs, you will:

• Identify real-world use cases where current frontier AI models demonstrate limitations
• Create high-quality datasets tailored to specific industry use cases and evaluation benchmarks
• Baseline frontier models against custom datasets to measure performance gaps
• Fine-tune machine learning models to achieve measurable improvements on enterprise AI applications
• Build enterprise-grade datasets based on actual B2B platform workflows and business processes
• Design and execute evaluations for computer-use models on enterprise applications
• Collaborate with cross-functional teams to understand industry requirements and technical constraints

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Eligibility Criteria

Who Can Apply for Scaler AI Labs Hiring:

1. Availability: Must be available for a full-time 6-month internship from January 2026
2. Educational Background: Degree or coursework in STEM fields including:
   • Computer Science
   • Mathematics
   • Statistics
   • Data Science
   • Related technical disciplines
3. Technical Experience (One of the following):
   • Prior exposure to ML research through academic projects
   • Contributions to open-source machine learning projects
   • Research lab experience or published papers
   • Previous internships in AI/ML roles
   • Active Kaggle profile with contributions to datasets, notebooks, or competition participation

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Skills and Competencies

Technical Skills Required:

• Programming proficiency in Python, R, or similar languages
• Understanding of machine learning algorithms and deep learning frameworks
• Experience with data preprocessing, feature engineering, and model evaluation
• Familiarity with TensorFlow, PyTorch, or other ML libraries
• Knowledge of statistical analysis and experimental design

Preferred Qualifications:

• Experience with large language models (LLMs) or generative AI
• Understanding of enterprise software workflows
• Previous work on dataset creation or benchmark development
• Research paper reading and implementation experience

What Makes This Opportunity Unique

Scaler AI Labs offers interns the chance to work on cutting-edge AI research that directly impacts enterprise applications. Unlike traditional internships focused solely on software development, this role emphasizes:

• Research-oriented work: Contributing to original research in AI and machine learning
• Real-world impact: Building solutions for actual enterprise problems
• Frontier technology: Working with state-of-the-art AI models and evaluation frameworks
• Comprehensive learning: Exposure to the complete ML lifecycle from data collection to model deployment
• Publication opportunities: Potential to contribute to research papers and technical blogs

How to Apply

Interested candidates should prepare:

1. Updated resume highlighting relevant projects, coursework, and technical skills
2. Portfolio or GitHub profile showcasing ML/AI projects
3. Academic transcripts demonstrating STEM background
4. Kaggle profile (if applicable) with competition rankings or notebook contributions
5. Cover letter explaining interest in AI research and specific use cases you’d like to work on

Visit the Scaler AI Labs careers page or official hiring portal to submit your application. Early applications are encouraged as positions are limited for the January 2026 cohort.

Location and Work Environment

The internship is based in India with potential for hybrid or remote work arrangements depending on project requirements. Interns will have access to:

• High-performance computing resources for ML training
• Collaboration tools and research databases
• Mentorship from senior researchers and data scientists
• Regular knowledge-sharing sessions and technical workshops

Frequently Asked Questions (FAQs)

1. What is the duration of the Scaler AI Labs internship?

A: The internship is a full-time 6-month program starting in January 2026. Interns are expected to commit to the entire duration to complete meaningful research projects and contribute to ongoing initiatives.

2. Do I need previous research experience to apply for this Data Scientist internship?

A: While prior ML research experience is preferred, candidates with strong academic projects, active Kaggle profiles, or relevant open-source contributions are also encouraged to apply. A solid STEM background and genuine interest in AI research are essential.

3. Will this internship provide a stipend or compensation?

A: While specific compensation details are typically provided during the interview process, most reputable AI research internships in India offer competitive stipends. Candidates should inquire about compensation, benefits, and potential for full-time conversion during the application process.