Ajay Pathem

Detail-oriented AI Data Annotator, AI Trainer, and Quality Specialist with 3 years of experience in multimodal data annotation, AI output validation, content classification, and human-in-the-loop workflows. Experienced in reviewing and annotating text, image, and video datasets for AI/ML training and evaluation, with strong attention to detail, accuracy, guideline adherence, and consistency. Skilled in video annotation, data labeling/tagging, quality assurance, error analysis, annotation refinement, and structured data preparation.

Strong written and verbal communication, analytical problem-solving, time management, self-organization, and a proactive approach to resolving ambiguous annotation cases.

AI Data Annotator / AI Trainer (Contract) - Innodata Private Ltd

(2025-12)

• Reviewed and annotated multimodal datasets, including text, image, and video data, for AI/ML training and evaluation workflows.
• Performed video annotation, classification, data tagging, labeling, and validation tasks using structured grading and annotation guidelines.
• Reviewed and refined AI-generated outputs to improve annotation accuracy, consistency, and overall dataset quality.
• Conducted quality checks, error analysis, and consistency reviews while maintaining high annotation standards and guideline compliance.
• Handled large-scale annotation tasks while meeting accuracy, throughput, turnaround-time, and project milestone requirements.
• Identified ambiguous or edge cases and provided structured feedback to improve annotation guidelines, workflows, and decision consistency.
• Collaborated with internal AI teams and project contributors to resolve annotation ambiguities and improve data quality and annotation efficiency.
• Documented findings and communicated progress, challenges, and insights through written and verbal channels as required.

Quality Analyst / Subject Matter Expert (SME) – Content Moderation - Teleperformance

(2024-10 - 2025-05)

• Conducted quality audits and validation reviews to ensure annotation accuracy, consistency, and adherence to defined guidelines.
• Identified recurring error patterns and supported corrective actions to improve data and annotation quality.
• Provided structured feedback and coaching to improve annotation performance, accuracy, and guideline adherence.
• Served as an escalation point for complex annotation decisions and ambiguous labeling cases.
• Collaborated with teams to standardize processes, improve annotation documentation, and strengthen quality workflows.
• Supported onboarding and training related to annotation workflows, quality processes, and project guidelines.

Content Moderator Analyst - Teleperformance

(2023-09 - 2024-09)

• Reviewed high volumes of text, image, and video content with strong attention to detail and accuracy.
• Applied policy-driven classification and labeling procedures for consistent content categorization.
• Maintained quality benchmarks while meeting productivity, turnaround-time, and workflow targets.
• Escalated edge cases and ambiguous data for further review and quality validation.
• Demonstrated consistency, analytical judgment, and accuracy in high-volume data processing environments.

Bachelor of Technology (B.Tech) - Electrical & Electronics Engineering - Avanthi's Scientific and Research Academy

Diploma - Electrical & Electronics Engineering - S.R.R.S Government Polytechnic College