Acme AI

🚀 Join our Production & Quality Assurance (QA) team as a QA Associate: Data Labeling, where your eye for detail and commitment to accuracy will directly support high-impact AI projects in a fast-paced, international environment.

KEY RESPONSIBILITIES
General responsibilities include:
• Reviewing and validating labeled image, text, audio, and video datasets with accuracy and consistency.
• Ensuring all annotations strictly follow project guidelines and meet quality benchmarks.
• Identifying errors, inconsistencies, or edge cases and providing clear, constructive feedback to annotators.
• Maintaining strong focus and attention to detail across repetitive, high-volume QC tasks.
• Communicating observations, error patterns, and quality concerns effectively with Team Leads and Project Coordinators.
• Assisting with the preparation of structured QC reports, summaries, and documentation.
• Upholding confidentiality and following all data security protocols.
• Supporting continuous improvement of labeling workflows and operational processes.

EXPERIENCE + QUALIFICATION
• Educational Qualification: Minimum Bachelor’s/Diploma
• Minimum 1 year of professional experience in data labeling or annotation.
• Experience using annotation tools.
• Ability to work independently, responsibly, and with strong attention to detail.
• Comfortable performing repetitive tasks while maintaining high accuracy.
• Disciplined, focused, and capable of managing workloads with minimal supervision.

WORK DETAILS
Type: Full-time (Onsite)
Location: Acme AI Ltd., Level 5, House 385, Road 6, Mirpur DOHS, Dhaka 1216
Salary: BDT 16,000–18,000 (based on experience)
Work Hours: 9:00 AM – 6:00 PM (1 hour lunch break), Sunday- Friday
Joining: Immediate (by 26 February)

BENEFITS
• Competitive salary aligned with experience
• Festival bonuses
• Access to company health fund (upon eligibility)
• Quarterly profit sharing (upon eligibility)
• Quarterly leave encashment (upon eligibility)
• Friendly, supportive team culture with meaningful learning opportunities

HOW TO APPLY❓
Candidates must apply through the following Google Form:
👉 https://forms.gle/zubKUophRJqasiKy9