Adam Batansky

Key Skills

Software

Appen

Lionbridge

Top Subject Matter

Speech Recognition

Speech Data Quality Assurance

Legal Services & Contract Review

Top Data Types

Audio

Text

Document

Top Task Types

Classification

Freelancer Overview

Audio Annotation Specialist. Core strengths include Appen and Lionbridge. Education includes Bachelor of Science, Ohio State University (2023). AI-training focus includes data types such as Audio and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

Data Entry and QA Reviewer – Speech Projects

LionbridgeAudioBounding Box

I verified speech transcription and annotation quality for clarity, consistency, and adherence to project guidelines. I reviewed data for accurate tagging of tone, speed, and pronunciation, supporting the development of advanced voice AI systems. I contributed feedback for refining annotation instructions and improving labeling workflows. • Conducted thorough QA review for large-scale speech AI datasets. • Collaborated with annotation teams on process improvements. • Used quality assessment tools on platforms like Upwork and Lionbridge. • Ensured compliance with strict project requirements.

I verified speech transcription and annotation quality for clarity, consistency, and adherence to project guidelines. I reviewed data for accurate tagging of tone, speed, and pronunciation, supporting the development of advanced voice AI systems. I contributed feedback for refining annotation instructions and improving labeling workflows. • Conducted thorough QA review for large-scale speech AI datasets. • Collaborated with annotation teams on process improvements. • Used quality assessment tools on platforms like Upwork and Lionbridge. • Ensured compliance with strict project requirements.

2021 - Present

Audio Annotation Specialist

AppenAudioClassification

I annotated thousands of English audio clips by identifying voice tone, accent, pace, and pronunciation for AI speech recognition projects. I accurately described demographic details such as gender, age range, and regional dialects based on auditory cues. My work contributed to increasing the inclusivity and efficacy of machine learning speech models. • Maintained a high accuracy (over 95%) while meeting daily task goals. • Used tools like Labelbox, SuperAnnotate, CVAT, Audacity, Remotasks, Appen, and Lionbridge. • Flagged and documented low-quality or inconsistent audio samples. • Regularly provided detailed feedback and reports to annotation teams.

I annotated thousands of English audio clips by identifying voice tone, accent, pace, and pronunciation for AI speech recognition projects. I accurately described demographic details such as gender, age range, and regional dialects based on auditory cues. My work contributed to increasing the inclusivity and efficacy of machine learning speech models. • Maintained a high accuracy (over 95%) while meeting daily task goals. • Used tools like Labelbox, SuperAnnotate, CVAT, Audacity, Remotasks, Appen, and Lionbridge. • Flagged and documented low-quality or inconsistent audio samples. • Regularly provided detailed feedback and reports to annotation teams.

2021 - 2022

Education

Work History