Data Processing Associate (Night Shift)

About Human Loops

Human Loops (Pacheriwala Infotech Pvt. Ltd.) is a Physical AI Operations company delivering Human-in-the-Loop (HITL) services such as data collection, annotation, validation, teleoperation, and processing to leading AI, robotics, and technology firms. Unlike typical outsourcing providers, all our processes including recruitment, training, quality assurance, and delivery are handled internally, enabling high-quality outcomes and efficient project execution.

Role Overview

The Data Processing Associate oversees responsible handling of data from collection on SD cards through uploading, verification, naming, and secure backup. This role requires strict adherence to process as the company manages multiple simultaneous projects with terabytes of video daily across three shifts. Accuracy and discipline in following naming conventions and verification procedures are critical to prevent unrecoverable data losses.

Key Responsibilities

• Manage custody of incoming data during shift, ensuring handover to upload completion.
• Transfer video and image files from SD cards/devices to company storage through approved hardware and procedures.
• Accurately name and organize files/folders following precise company naming rules (Location Number / Task Type / Employee Code).
• Confirm uploads, validate file integrity, and promptly report any missing or corrupted data.
• Reconcile recorded hours with field team reports, flagging discrepancies immediately.
• Maintain the "two-copy" policy: no deletion until two verified copies exist; deletion rights restricted to authorized verifiers.
• Monitor storage availability on all processing systems and cloud buckets; proactively clear space to avoid workflow interruptions.
• Release SD cards back to Logistics only after confirmed uploads.
• Generate comprehensive shift handover reports detailing data status, uploads completed and pending, and resource usage.
• Maintain daily upload logs, trackers (Excel, Google Sheets), and project documentation.
• Coordinate with Field Team Lead to prepare and publish thumbnails and metadata on Notion.
• Manage renaming, checking, moving files, and related tasks on project backlogs as assigned.
• Transfer processed data batches to Quality Control and assist in rechecking contested footage.
• Adhere strictly to company data security and confidentiality policies.
• Escalate any technical issues or bottlenecks to Team Lead without attempting workarounds.

Eligibility & Required Qualifications

Education: Engineering graduate.

Experience: 1 to 5 years in roles such as data processing, data entry, operations, back office, IT support, or BPO. This is not suitable for fresh graduates.

Essential Skills

• Proficiency with Microsoft Excel and Google Sheets for tracking, tallying, and reconciliation.
• Strong computer skills comfortable with file systems, large data transfers, and basic troubleshooting.
• Meticulous adherence to file and folder naming conventions and organizational discipline.
• High attention to detail maintained throughout prolonged shifts, including night hours.
• Clear and precise written communication skills for shift handover documentation.
• Ability to meet deadlines while handling high volumes of data.
• Process-focused mindset with strict compliance to standard operating procedures.
• Familiarity with cloud storage systems, backup workflows, or video file formats is advantageous.

Work Schedule

• Five days per week.
• Nine-hour shifts (8.5 working hours plus 30-minute break).
• Night shift approx. 10:00 PM to 7:00 AM, with shifts rotating based on project needs.
• On-site office position.

Applicants should be comfortable with shift rotations as per project requirements.

Compensation and Career Progression

• Competitive salary package.
• Structured training and onboarding program.
• Opportunities for growth based on performance.
• Exposure to international AI and robotics projects.
• Learning-focused workplace culture.
• Clear pathways for promotion from Processing Associate to Senior Associate, Team Lead, and Data Operations Manager.

Additional Information

The company is expanding rapidly in Nagpur, aiming to build an elite data and physical AI operations team. This fast-paced environment offers accelerated career growth for motivated individuals who want meaningful work and continuous development. The data processed underpins real robotic systems, so dependability and precision are essential.