Data Processing Associate in Nagpur, भारत

Data Processing Associate

Company: Human Loops (Pacheriwala Infotech Pvt. Ltd.)
Location: Nagpur, Maharashtra (Office-Based)
Employment Type: Full-Time
Salary: ₹20,000 – ₹30,000 per month (Based on Experience)
Open Positions: 8 people
Department: Operations Data Processing
Reporting To: Team Lead – Data Processing / Operations Manager

About Human Loops

Human Loops is a Physical AI Operations company supporting leading AI, robotics, and technology organizations through Human-in-the-Loop (HITL) services, including data collection, annotation, validation, teleoperation, and data processing. Unlike traditional outsourcing firms, all our operations from recruitment and training to quality assurance and delivery are managed in-house, enabling us to maintain high quality standards and efficient project execution.

Role Overview

The Processing Associate takes custody of data the moment it comes off a card and is accountable for it until it is uploaded, correctly named, verified, and backed up. We move terabytes of video every day across multiple concurrent projects and three shifts, and there is no second chance on collected footage if a file is lost between the card and the cloud, a paid collection day is simply gone.

This role runs on discipline rather than improvisation. Naming conventions, verification steps, and the two-copy rule exist because the alternative is unrecoverable loss, and they are followed exactly, on every shift, including at 3 AM.

Key Responsibilities

• Take responsibility for all data entering the office during your shift, from handover to confirmed upload.

• Ingest and upload video and image data from SD cards and devices to company storage systems using approved ingest stations and upload workflows.

• Name and organise every file and folder to the company naming convention (Location Number / Task Type / Employee Code) without deviation.

• Verify upload completion and file integrity; identify and report missing, truncated, or corrupted files immediately.

• Tally recorded hours against the field team's reported hours and flag any mismatch the same shift.

• Maintain the two-copy rule at all times — no footage is deleted anywhere until two verified copies exist, and deletion authority rests only with designated verifiers.

• Monitor storage across processing machines and cloud buckets; clear space proactively so ingest is never blocked mid-shift.

• Release cleared SD cards to the Logistics team for formatting only after upload is confirmed.

• Produce a written shift handover brief for the incoming team: total data received, what was uploaded, what remains pending, and which machines or cards are still occupied.

• Maintain upload logs, Excel and Google Sheets trackers, and project documentation to a daily close.

• Prepare and publish thumbnails and supporting records to Notion in coordination with the Field Team Lead.

• Handle renaming, re-checking, moving, tallying, and drive management tasks on project backlogs and side projects as assigned.

• Hand off processed batches to the Quality Control team and support re-checks on disputed footage.

• Follow company data security and confidentiality policies at all times.

• Escalate technical failures, storage bottlenecks, or transfer errors to the Team Lead rather than working around them.

Eligibility

Education: Graduate in Engineering Degree.
Experience: 1–5 years in Data Processing, Data Entry, Operations, Back Office, IT Support, or BPO roles. This is not a fresher role.

Required Skills

• Microsoft Excel and Google Sheets — trackers, tallying, and daily reconciliation

• Solid computer proficiency; comfortable with file systems, large transfers, and basic troubleshooting

• Rigorous file and folder discipline; naming conventions followed exactly, every time

• Attention to detail sustained across a full shift, including night shifts

• Clear written communication for shift handover notes

• Ability to work to deadlines under high data volume

• Process-oriented mindset and strict adherence to SOPs

• Exposure to cloud storage, backup workflows, or video file formats is a strong advantage

Working Schedule

• 5 Working Days per Week

• 9 Hours per Day (8.5 Working Hours + 30 Minutes Break)

• Three shift timings —
  Morning (approx. 7:00 AM – 4:00 PM)
  Evening (approx. 3:00 PM – 12:00 AM)
  Night (approx. 10:00 PM – 7:00 AM).

  Shifts are allotted based on project requirements and rotate periodically. Please apply only if you are comfortable with rotational shifts.

• Office-Based Role

Compensation & Benefits

• Competitive salary

• Structured training and onboarding

• Performance-based career growth

• Exposure to global AI and Robotics projects

• Learning-focused work environment

• Clear internal promotion opportunities

Growth Path

Processing Associate → Senior Processing Associate → Team Lead – Data Processing → Data Operations Manager

Why Join Human Loops?

Six months ago we were 20 people. Today we are 56. We are heading to 90. We are growing faster than anyone else in Nagpur right now, and we intend to keep it that way building India's most serious Data & Physical AI operations company from this city, for clients that include some of the biggest names in AI and robotics.

Growth like that changes what a job means. Roles here open faster than we can fill them from outside, which is why our Team Leads and managers come from our own floor. Join now and you will not be doing the same job a year from now.

This is a fast-paced environment and we are direct about that. We are looking for hard hitters — people who want to do something real with their working life and grow as the company grows, not people looking for a comfortable seat.

Nagpur has no shortage of companies content with average. We are not trying to be one of them. We are building a company here that runs on growth and hard work, and that proves world-class operations can be built from this city.

The data you handle becomes the training set behind real robotic systems. If you are precise, dependable, and want to grow with a company moving at this speed, we want to meet you.