Associate (Night Shift)

About the Role

This Associate role is a fantastic opportunity for fresh graduates to kickstart their career in back-office roles, specifically in data annotation. As a Night Shift Associate, you'll be working closely with our Data Annotation team to support machine learning and AI projects across various industries.

On a day-to-day basis, you'll be responsible for tagging, labelling, and validating data with high accuracy, ensuring consistency and compliance with project guidelines. You'll also work closely with our Quality and Project Management teams to meet Service Level Agreements (SLA) and accuracy targets.

Key Responsibilities

• Perform annotation and tagging of documents, images, and other data formats with high accuracy.
• Review and validate annotated data to ensure consistency and compliance with project guidelines.
• Work closely with the Quality and Project Management teams to meet SLA and accuracy targets.
• Maintain proper documentation of tasks and follow standard operating procedures (SOPs).
• Escalate issues, ambiguities, or challenges to supervisors for resolution.
• Continuously learn new tools, annotation methods, and project requirements.
• Contribute to maintaining data security and confidentiality standards (HIPAA/GDPR).

Skills & Qualifications

• Interpersonal skills
• Bachelor's degree in B.Com or BFA (or equivalent)
• Strong attention to detail and accuracy
• Ability to learn new tools and workflows quickly
• Basic understanding of data annotation and machine learning concepts
• Good communication and teamwork skills

What You'll Learn

As a Night Shift Associate, you'll have the opportunity to learn new tools, annotation methods, and project requirements, which will help you grow professionally. You'll also gain experience working in a collaborative and supportive team environment.

By taking this role, you'll develop your skills in data annotation, quality control, and project management, which will be valuable in your future career.

Resume Tip

When applying for this role, make sure to highlight your attention to detail, accuracy, and ability to learn new tools and workflows quickly. Emphasize your experience working in a team environment and your basic understanding of data annotation and machine learning concepts.

Use specific examples from your academic or professional experience to demonstrate your skills and qualifications. This will help you stand out from other applicants and increase your chances of getting hired.