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Data Annotator - Data Scientist

jobgether

Eligible countries: IN

India

  • $30–$80 per hour
  • Remote
  • Part Time
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About the role

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Annotator – Data Scientist based in India.

The Data Annotator – Data Scientist will contribute to the development and improvement of advanced AI systems through specialized data annotation, technical evaluation, and model training projects. This role goes beyond traditional data annotation, requiring strong expertise in data science, statistical analysis, and machine learning. You will analyze complex datasets, evaluate analytical methodologies, and assess AI-generated outputs for accuracy, consistency, and technical reliability. Working with Python, SQL, and modern data science libraries, you will help improve the reasoning and analytical capabilities of AI models. The position offers an opportunity to apply practical data science knowledge to real-world AI evaluation challenges. This is a fully remote, flexible, part-time opportunity for professionals passionate about data, analytics, and artificial intelligence.

Accountabilities

  • Data Analysis and Interpretation: Analyze complex datasets, identify meaningful patterns, evaluate trends, and assess the accuracy of data-driven conclusions.

  • Statistical Analysis and Evaluation: Review statistical methodologies, probability concepts, hypothesis testing, regression models, and statistical interpretations.

  • Machine Learning Evaluation: Assess machine learning algorithms, model selection strategies, feature engineering techniques, and predictive modeling workflows.

  • Technical Data Annotation: Produce high-quality annotations for data science-related datasets, including analytical problems, Python code, statistical outputs, and technical documentation.

  • AI-Generated Output Evaluation: Evaluate AI-generated analytical responses for mathematical accuracy, logical consistency, statistical correctness, and contextual relevance.

  • Python Code Assessment: Review Python-based data science implementations, identify logical errors, evaluate coding approaches, and recommend technically sound improvements.

  • SQL and Data Query Evaluation: Analyze SQL queries, data extraction processes, joins, aggregations, and query accuracy.

  • Model Performance Assessment: Evaluate machine learning models using appropriate performance metrics, validation techniques, and statistical measures.

  • Prompt and Response Evaluation: Review prompts and AI-generated responses to assess technical accuracy, completeness, relevance, and adherence to instructions.

  • Technical Documentation: Provide clear explanations, structured annotations, technical justifications, and actionable feedback for evaluation tasks.

  • Quality Assurance: Maintain high standards of annotation accuracy and consistency while following project-specific guidelines and evaluation requirements.

    • Requirements:

  • 2–6 years of professional experience, with at least 2 years in Data Science, Applied Science, Data Analytics, Machine Learning, or a related technical field.

  • Strong hands-on programming experience with Python.

  • Practical experience using data science libraries and frameworks such as Pandas, NumPy, and Scikit-learn.

  • Solid understanding of statistics, probability, hypothesis testing, and mathematical concepts.

  • Experience with machine learning algorithms, predictive modeling, feature engineering, and model evaluation techniques.

  • Proficiency in SQL and experience querying, manipulating, and analyzing structured datasets.

  • Familiarity with data visualization tools such as Matplotlib, Seaborn, Tableau, or Power BI.

  • Ability to independently analyze complex datasets and assess existing analytical models and implementations.

  • Familiarity with Jupyter Notebooks and collaborative data science development workflows.

  • Strong analytical thinking, problem-solving abilities, and technical reasoning skills.

  • Excellent written communication skills, with the ability to clearly explain technical decisions, analytical findings, and evaluation outcomes.

  • A detail-oriented and results-driven approach, with the ability to work independently and consistently meet quality standards.

    • Benefits:

  • Competitive hourly compensation: USD 30–80, depending on project-specific compensation terms.

  • Fully remote working arrangement, allowing you to work from anywhere in India.

  • Flexible part-time engagement with a minimum commitment of 2 dedicated hours per day.

  • Flexible working hours, subject to project deadlines and delivery requirements.

  • Opportunity to contribute to advanced AI training and evaluation projects.

  • Hands-on exposure to data science, statistical modeling, machine learning, and AI development methodologies.

  • Opportunity to apply and strengthen your technical expertise through practical analytical challenges.

  • Flexible project-based work that can complement other professional commitments.

    • How Jobgether works:
    We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
    We appreciate your interest and wish you the best!
     
    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
     
     
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