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Client Engagement & Delivery – Data Collection & Annotation

Client Engagement & Delivery – Data Collection & Annotation

eDataBae

4 years

0 Lacs

gurugram haryana india

Posted:1 day ago| Platform:

Apply

Skills Required

engagement data annotation training ai ml management timing flexibility coordination communication qc documentation checks formatting drive timeline cutting learning

Work Mode

On-site

Job Type

Full Time

Job Description

About The Role

We are hiring for a Client Engagement & Delivery role to manage end-to-end data collection andannotation projects for training AI/ML models. This is a client-facing, high-ownership role where youwill work closely with both clients and internal teams to ensure smooth execution and timely delivery.Candidates with prior exposure to AI data collection or annotation workflows will have a strongadvantage. We also welcome applicants with client-facing delivery experience in operations, BPO/KPO,IT services, outsourcing, digital agencies, or project management who can adapt quickly to project-drivenenvironments. This is a non-tech role.Work Timing Flexibility (Important)

Many of our clients are US-based, and certain reviews or discussions may occasionally require

overlap with US time zones.

The role requires flexibility for late evening or night coordination when necessary (not daily).
If a candidate is working in a US-aligned shift, we do not require them to be in the office

during those hours.

Total working hours remain standard (8–10 hours/day).
Flexibility is only expected to manage key client touchpoints, not continuous night shifts.

This ensures smooth client communication while maintaining a healthy work-life balance.
Key ResponsibilitiesClient Engagement & Communication

Serve as the primary point of contact for clients
Understand requirements and translate them into actionable tasks
Provide structured updates, manage expectations, and handle escalations
Conduct review calls and clarify guidelines as needed

Project Delivery & Execution

Own delivery timelines, project quality, and client satisfaction
Coordinate with internal data collection, annotation, QC, and delivery teams
Track daily throughput and identify risks early
Maintain trackers, dashboards, and structured documentation

Operational & Process Management

Review guidelines and ensure correct internal implementation
Perform preliminary QC checks to ensure compliance
Validate formatting, metadata, and file-structure requirements
Suggest improvements for faster and more accurate execution

Team & Stakeholder Coordination

Coordinate with internal teams, freelancers, and vendor partners
Share clear instructions and drive productivity
Ensure adherence to quality and timeline expectations

Preferred Candidate Profile : You are a great fit if you have:

1–4 years of experience in client handling + project coordination/delivery
Strong written and verbal communication skills
Ability to take ownership of multi-stakeholder projects
Comfort working in fast-paced, deadline-driven environments
Experience in AI data collection or annotation projects is a strong plus

Why Work With Us

Work on global AI/ML data projects across 100+ languages
Direct exposure to Fortune 500 clients and cutting-edge AI workflows
Ability to take high ownership early in your career
Work closely with founders and senior leadership
Fast-growth environment focused on learning and execution excellence

Skills: ownership,project,data collection,communication,annotation

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