Data Labeling Specialist

Dueto; Pakistan; On-site; PKR 600,000 - 1,200,000; Full time

Job summary

ShipIn Systems is seeking a detail‑oriented Data Labeling Specialist to support machine learning and AI initiatives by ensuring data quality and annotating datasets.

The role involves reviewing AI outputs, documenting processes, and generating data quality reports. Open to candidates based in Pakistan, with emphasis on teamwork and independent work in a fast-paced environment.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Hands-on experience in QA, data annotation, data moderation, system monitoring, or data analysis.
• Strong analytical and problem-solving abilities.
• Ability to work both independently and collaboratively in dynamic, fast-paced environments.
• Strong communication and teamwork skills.

Responsibilities

• Review and annotate datasets according to predefined guidelines (Segmentation masks, Bounding boxes, Classifications).
• Accurately label and categorize data elements to support AI/ML initiatives.
• Ensure consistency and quality across all annotation processes to maintain high-quality datasets.
• Review and validate AI outputs to ensure accuracy.
• Collaborate with Computer Vision researchers and Product Managers to improve AI model performance.
• Document annotation processes, data cleaning procedures, and model validation workflows.
• Generate regular reports on data quality, system performance, and analysis insights for leadership review.

Skills

QA & labeling

Data annotation

Data analysis

Python

Communication

Education

Bachelor’s degree in CS/IT or related

Job description

ShipIn Systems is redefining how the maritime industry understands, manages, and reduces operational risk. Our AI-powered visual fleet intelligence platform connects onboard video with shore-based teams, turning everyday vessel operations into actionable insight that helps prevent incidents before they escape.

We work with many of the world’s leading shipowners and operators to bring greater visibility, accountability, and learning into daily operations at sea. The result is safer crews, stronger performance, and smarter decision-making across global fleets.

If you’re drawn to complex, real‑world industries and want to build technology that changes behavior and improves safety at scale, join us

About The Role

We are seeking a detail‑oriented Data Labeling Specialist to join our team. In this role, you will play a key part in supporting our machine learning and AI initiatives by ensuring data quality, reviewing AI outputs, and documenting processes to drive continuous improvement.

Key Responsibilities

Data Labeling

• Review and annotate datasets according to predefined guidelines (Segmentation masks, Bounding boxes, Classifications).
• Accurately label and categorize data elements to support AI/ML initiatives.
• Ensure consistency and quality across all annotation processes to maintain high-quality datasets.
• Review and validate AI outputs to ensure accuracy.
• Collaborate with Computer Vision researchers and Product Managers to improve AI model performance.

Documentation & Reporting

• Document annotation processes, data cleaning procedures, and model validation workflows.
• Generate regular reports on data quality, system performance, and analysis insights for leadership review.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Hands‑on experience in QA, data annotation, data moderation, system monitoring, or data analysis.
• Strong analytical and problem‑solving abilities.
• Ability to work both independently and collaboratively in dynamic, fast‑paced environments.
• Strong communication and teamwork skills.

Nice to Have

• Proficiency in Python for data manipulation and analysis.
• Strong skills in Google Spreadsheets and Microsoft Excel.
• Expertise in QA methodologies, data annotation, and system monitoring.

This position is open to candidates currently based in Pakistan.