Post-editors with English (Remote for Freelancers)

We are seeking a meticulous and detail-oriented Data Annotation Specialist to join our innovative AI and ML projects team. Your primary responsibility will be generating, annotating, and validating high-quality datasets across text, images, audio, and video formats. This remote, full-time role offers flexibility while directly impacting advanced AI model development.

Key Responsibilities

• Accurately generate, annotate, and label diverse datasets following detailed, project-specific guidelines.
• Review and validate annotations to ensure consistency, accuracy, and alignment with data ethics standards.
• Collaborate closely with data scientists and machine learning engineers to meet specific dataset requirements.
• Utilize annotation tools (e.g., Labelbox, Prodigy, etc.) and contribute to refining annotation guidelines and quality control processes.
• Identify, document, and report data quality issues, edge cases, and unclear scenarios to continuously improve datasets.

A Typical Day

• Data Annotation: Generate and annotate synthetic and real-world datasets tailored for specific AI and ML models.
• Quality Assurance: Perform rigorous validation checks to maintain annotation consistency and accuracy.
• Collaboration: Coordinate regularly with the data science team to align on dataset requirements and improvements.
• Problem-Solving: Address annotation challenges and propose practical solutions for data enhancement.

Required Skills & Qualifications

• Strong attention to detail with exceptional accuracy in annotation tasks.
• Effective communication skills with the ability to clearly articulate decisions and feedback.
• Proficient in English, both written and verbal.

Preferred Qualifications

• Demonstrable experience in data annotation, labeling, or similar roles.
• Familiarity with data annotation tools and platforms.
• Bachelor’s degree in Linguistics, Business Administration, Computer Science, or related fields.
• Familiarity with AI, ML, and data science concepts.
• Experience with scripting languages such as Python for automated data processing.
• Understanding of data privacy laws and ethical considerations in data generation.
• Previous work with diverse datasets (text, images, audio).

What You'll Gain

• Flexibility and autonomy in a fully remote, full-time position.
• Opportunity to significantly contribute to state-of-the-art AI/ML developments.
• Professional collaboration with global data science and AI teams.

Compensation & Benefits

• Competitive compensation based on experience and skills assessment.
• Potential performance-based incentives.

Application Process

To apply, please submit your resume clearly detailing your experience with data annotation and relevant qualifications. Candidates may be asked to complete an online assessment evaluating: annotation accuracy and attention to detail, understanding of annotation guidelines, and ability to effectively use annotation tools and software.