Fitness Trainer & Physiotherapy Internship

NURY · Karnataka, India

Role Type: Internship

Location: Remote / Hybrid

Duration: 3-6 months

Start Date: 15 August 2026

This is not a traditional fitness or physiotherapy internship. You will help translate exercise science, movement therapy, injury prevention, and rehabilitation knowledge into structured intelligence that powers NURY's AI-driven fitness and physiotherapy recommendations.

About NURY

NURY is building a voice-first intelligent health app for personalized fitness, nutrition, and preventive wellness, considering different chronic health issues, women's health needs, lifestyle patterns, and regional accessibility.

Our goal is to make health guidance simple, culturally relevant, safe, and accessible across languages, regions, body types, fitness levels, health conditions, and lifestyles.

Role Overview

We are looking for a Fitness & Physiotherapy Data Intern to help build NURY's structured fitness, movement, and physiotherapy intelligence layer.

You will collect, validate, and structure exercise, mobility, rehabilitation, posture, pain-management, and training data to support intelligent personalized recommendations for users with different goals, limitations, fitness levels, and health contexts.

Key Responsibilities

• Research and structure fitness exercises, physiotherapy movements, mobility drills, warm-ups, cool-downs, stretching routines, strengthening exercises, and rehabilitation protocols.
• Map exercises by body part, muscle group, joint movement, difficulty level, equipment needs, training goal, and user fitness level.
• Classify exercises as recommended, limited, modified, or avoid based on user context, pain level, injury history, pregnancy status, obesity, PCOS, diabetes risk, hypertension, thyroid imbalance, posture issues, and mobility restrictions.
• Create structured datasets for strength training, cardio, mobility, flexibility, balance, functional fitness, posture correction, injury prevention, and physiotherapy-focused movement.
• Analyse exercise suitability for common conditions such as lower back pain, knee pain, neck pain, shoulder pain, ankle instability, poor posture, obesity, sedentary lifestyle, postnatal recovery, PCOS, diabetes risk, and high blood pressure.
• Suggest safer exercise alternatives and progressions or regressions based on pain, ability, equipment, age group, and fitness level.
• Support cycle-aware fitness mapping, including exercise recommendations for menstrual, follicular, ovulation, and luteal phases.
• Help create beginner-friendly, intermediate, and advanced workout structures for home, gym, outdoor, and low-equipment environments.
• Validate exercise and physiotherapy claims using credible sources and ensure all recommendations are safe, non-medical, and culturally sensitive.
• Support the creation of AI-ready fitness rules, movement suitability matrices, exercise tagging systems, and structured physiotherapy knowledge databases.

Required Skills

• Pursuing or recently completed a B.Sc. or M.Sc. in Physiotherapy, Sports Science, Exercise Science, Kinesiology, Physical Education, Sports Medicine, Rehabilitation Science, or a related field.
• Final-year students and recent graduates are encouraged to apply.
• Background or strong interest in fitness, physiotherapy, rehabilitation, mobility, strength training, posture correction, preventive health, or women's wellness.
• Understanding of basic anatomy, muscle groups, joints, movement patterns, exercise progression, and injury prevention.
• Ability to research, validate, and organise information clearly in spreadsheets, databases, or structured documentation.
• Interest in women's health, menstrual health, preventive wellness, obesity, diabetes prevention, chronic pain, mobility, and culturally relevant fitness guidance.
• Clear data communication and attention to detail.
• Ability to distinguish between general wellness guidance and medical or clinical advice.

Nice to Have

• Knowledge of physiotherapy assessment basics, rehabilitation protocols, pain management, corrective exercise, or sports injury prevention.
• Experience with strength training, CrossFit, yoga, Pilates, mobility training, functional fitness, or home workout programming.
• Understanding of exercise modifications for beginners, overweight users, postnatal users, older adults, or users with limited mobility.
• Knowledge of women's health fitness, PCOS-friendly exercise, cycle-based training, pregnancy-safe movement, or postnatal recovery.
• Experience with structured data tools such as Google Sheets, Airtable, Notion, Jira, or similar systems.
• Basic familiarity with AI tools such as ChatGPT, Gemini, Perplexity, or structured prompt creation.
• Indian language skills such as Hindi, Kannada, Tamil, Telugu, Marathi, Bengali, or others are a plus.

What You Will Work On

You may contribute to exercise databases, physiotherapy movement libraries, injury restriction matrices, body-part-based exercise mapping, posture correction datasets, beginner-to-advanced progression systems, cycle-aware fitness frameworks, workout recommendation rules, safe exercise alternatives, and AI-ready movement intelligence for NURY.

Example Datasets

• Exercise name, category, target muscle, secondary muscle, equipment, difficulty, goal, contraindications, common mistakes, safer alternatives, progression, regression, recommended repetitions, duration, intensity, and suitability by user condition.
• Physiotherapy-focused movement mapping for back pain, knee pain, neck pain, shoulder pain, posture correction, mobility improvement, sedentary lifestyle, and injury prevention.
• Cycle-aware fitness recommendations based on energy, recovery, strength, flexibility, and intensity needs across menstrual cycle phases.

What You Will Learn and Experience

• Work directly with the founders and receive weekly mentorship.
• Learn how fitness science and physiotherapy knowledge are used in intelligent health applications.
• Understand how to create structured data for AI-powered fitness and rehabilitation recommendations.
• Learn women's health and cycle-aware fitness frameworks.
• Gain hands-on experience in startup product development and health-tech personalization.
• Work with an international team.
• Experience an impact-driven startup culture.
• Receive a performance-based stipend.
• Contribute to 500+ validated exercise entries, physiotherapy movement datasets, exercise suitability matrices, AI-ready fitness databases, and personalized workout recommendation logic.
• Use tools such as Google Sheets, Airtable, Notion, ChatGPT, Gemini, Perplexity, Jira, and basic Python.
• Learn new tools and structured-data workflows.
• Potential opportunity to transition into a full-time role, where applicable.

Ideal Candidate

• You are studying or have completed a B.Sc. or M.Sc. in Physiotherapy, Sports Science, Exercise Science, Kinesiology, Physical Education, Sports Medicine, Rehabilitation Science, or a related field.
• You are curious, detail-oriented, scientifically minded, and passionate about helping people make better health and fitness choices through safe, personalized, and culturally relevant guidance.
• You are comfortable working with structured data and can translate complex movement or physiotherapy knowledge into simple, usable formats.
• You are available for a minimum of 24 hours per week.
• You can participate in daily Scrum stand-ups and weekly sprint reviews.
• You are interested in startup product development, health-tech personalization, AI-driven wellness, and impact-driven work.

How to Apply

Please send:

• Your CV or resume.
• A short note answering: "Why are you interested in NURY?"
• Any previous work related to fitness, physiotherapy, rehabilitation, exercise programming, sports science, workout planning, injury prevention, or women's health.

Send your application to: