AI/ML Evaluator - English in India at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI/ML Evaluator - English based in India.

As an AI/ML Evaluator, you will use analytical reasoning and technical expertise to evaluate complex AI system behavior.
You will analyze system outputs, telemetry, event data, and other technical signals to identify meaningful behavioral patterns.
A key focus will be distinguishing legitimate user activity from sophisticated automated or bot activity using available evidence and project guidelines.
You will work with complex and sometimes ambiguous information, applying AI/ML knowledge to make accurate and consistent assessments.
Your evaluations will generate high-quality, human-verified data that supports the training and improvement of AI systems.
This freelance opportunity offers the potential to transition into a full-time role while providing hands-on experience in AI evaluation and technical data analysis.

• Review and evaluate AI system behavior, outputs, and relevant technical data according to defined project guidelines.

• Analyze system telemetry, event data, signals, and other technical information to identify meaningful patterns and behavioral indicators.

• Evaluate signals that may help distinguish legitimate user activity from automated or bot activity.

• Apply AI and machine learning knowledge, analytical reasoning, and expert human judgment to complex or ambiguous cases.

• Identify unusual patterns, inconsistencies, anomalies, or behaviors that may require additional review.

• Evaluate complex cases using available evidence, contextual information, and defined project requirements.

• Classify, label, and annotate assigned data accurately and consistently.

• Provide high-quality human evaluations to support AI system training, testing, evaluation, and continuous improvement.

• Clearly document decisions and supporting reasoning when required.

• Identify unclear, unusual, or particularly complex cases and flag them through established project processes.

• Apply detailed project guidelines consistently across all assigned tasks.

• Maintain high standards of accuracy, quality, consistency, and attention to detail.

• Educational background or equivalent professional experience in Artificial Intelligence, Machine Learning, Computer Science, Data Science, Statistics, Engineering, or a related field.

• Experience working with AI/ML systems, machine learning models, AI evaluation, data analysis, or technical system analysis.

• Strong understanding of core artificial intelligence and machine learning concepts.

• Ability to analyze complex technical data, system behavior, and behavioral patterns.

• Experience evaluating AI systems, models, outputs, or datasets is preferred.

• Familiarity with system telemetry, event data, logs, or other technical signals is an advantage.

• Strong analytical, critical-thinking, and problem-solving skills.

• Ability to identify meaningful patterns and make informed decisions using complex, incomplete, or ambiguous information.

• Strong attention to detail and ability to consistently apply detailed evaluation guidelines.

• Experience with data annotation, AI evaluation, human feedback, model evaluation, or structured data review is preferred.

• Familiarity with bot detection, automated abuse detection, anomaly detection, fraud detection, or related areas is advantageous.

• Strong written English comprehension and documentation skills.

• Ability to work independently while maintaining consistent quality and accuracy across assigned evaluations.

• Compensation: US$9 per hour.

• Contract type: Freelance, with potential opportunity to transition to a full-time role.

• Location: India.

• Language: English.

• Flexibility: Freelance structure offering flexibility in managing assigned work.

• Professional exposure: Hands-on experience evaluating AI systems, technical signals, and machine learning behavior.

• Impact: Contribute to improving the accuracy and reliability of AI systems used to identify automated abuse while helping reduce incorrect classification of legitimate activity.

• Skill development: Opportunity to deepen expertise in AI/ML evaluation, technical data analysis, anomaly detection, and human-in-the-loop AI systems.