AI/ML Training Data Specialist - Remote Jobs for Tech Freshers

The Elitejob; India; Remote; INR 300,000 - 500,000; Full time

Benefits offered by this job

Competitive salary

Access to training resources

Flexible working hours

Health insurance

Career growth opportunities

Job summary

A technology-driven financial institution is looking for an AI/ML Training Data Specialist to join their remote team. As an entry-level position, it’s ideal for recent graduates eager to start a career in AI and Machine Learning. Responsibilities include collecting and preparing training data, along with ensuring quality and collaboration with data scientists. This role offers growth opportunities in a competitive environment alongside skilled professionals while working remotely.

Qualifications

• Strong focus on data accuracy, precision, and consistency.
• Willingness to learn and adapt to new tools and technologies relevant to AI/ML projects.

Responsibilities

• Collect, clean, and organize raw data into structured datasets.
• Label, categorize, and annotate datasets according to project specifications.
• Review and ensure the quality and accuracy of data.

Skills

Attention to Detail

Technical Skills

Problem-Solving Abilities

Communication Skills

Familiarity with AI/ML Concepts

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field

Tools

Excel

Google Sheets

Job description

Job Summary:

We are seeking an enthusiastic and detail-oriented AI/ML Training Data Specialist to join our remote team. This position is perfect for tech freshers looking to kickstart their career in Artificial Intelligence and Machine Learning. As an AI/ML Training Data Specialist, you will be responsible for preparing, processing, and ensuring the quality of data used for training AI and ML models. You will be working alongside our skilled technical team to contribute to cutting‑edge AI/ML projects, with an opportunity to grow and learn in the fast-evolving field of AI.

Key Responsibilities:

• Data Collection and Preparation: Collect, clean, and organize raw data into structured datasets suitable for training machine learning models.
• Data Annotation: Label, categorize, and annotate datasets according to project specifications.
• Quality Assurance: Review and ensure the quality and accuracy of data, including identifying inconsistencies or errors.
• Collaboration: Work closely with data scientists, AI engineers, and other team members to support data-related tasks and improve the training datasets.
• Research and Implementation: Stay up-to-date with the latest trends and techniques in AI/ML data preparation, incorporating new methodologies to improve processes.
• Documentation: Maintain accurate and detailed records of data preparation processes and progress.
• Feedback and Reporting: Provide feedback on data quality, trends, and potential areas for improvement.

Required Skills and Qualifications:

• Education: Bachelors degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent experience).
• Familiarity with AI/ML Concepts: Basic understanding of artificial intelligence, machine learning, and data science.
• Attention to Detail: Strong focus on data accuracy, precision, and consistency.
• Technical Skills: Proficiency with spreadsheets (Excel/Google Sheets) and data processing tools.
• Communication Skills: Strong written and verbal communication skills to document processes and work with cross-functional teams.
• Problem-Solving Abilities: Ability to identify challenges in data and propose efficient solutions.
• Tech-Savvy: Willingness to learn and adapt to new tools and technologies relevant to AI/ML projects.

Experience:

• Entry‑level position ideal for recent graduates or individuals with a passion for AI/ML.
• Previous experience in data annotation, data entry, or any technical support role is a plus but not mandatory.

Working Hours:

• Full‑time (40 hours per week).
• Flexible working hours to accommodate global team collaboration.
• Remote work opportunity with potential for occasional team meetings via video calls.

Knowledge, Skills, and Abilities:

• Knowledge of Data Preparation: Basic understanding of data cleaning, normalization, and preprocessing for machine learning models.
• Analytical Skills: Ability to analyze and manipulate datasets to extract meaningful insights.
• Familiarity with AI Tools: Exposure to basic AI tools and platforms such as TensorFlow, PyTorch, or similar technologies is beneficial.
• Adaptability: Willingness to learn and grow within the dynamic field of AI/ML.
• Team Collaboration: Ability to work effectively in a remote, collaborative environment.

Benefits:

• Competitive Salary: Competitive pay based on experience and skill level.
• Learning and Development: Access to training resources, mentorship, and opportunities to grow within the AI/ML field.
• Remote Work Flexibility: Work from the comfort of your home with flexible hours.
• Health and Wellness Benefits: Comprehensive health insurance and wellness programs.
• Career Growth: Opportunity for advancement in a rapidly growing industry.
• Team Collaboration: Work alongside highly skilled professionals in a supportive, remote work environment.

Why Join Progressive Technology:

At Progressive Technology, we believe in investing in the future of technology and people. By joining our team, you will gain hands‑on experience in the exciting world of AI and ML while working remotely from anywhere. This is your chance to build a rewarding career in a field that is shaping the future of various industries, from healthcare to finance and beyond.

How to Apply:

Interested candidates can apply directly by submitting their updated resume and a brief cover letter outlining why they are interested in the AI/ML Training Data Specialist role. Please include any relevant projects or coursework in AI/ML that demonstrate your passion and readiness for the role.

Join us in revolutionizing the world of AI and machine learning!