Tech AI Data Delivery Manager

TGS

. Design and run AI data projects .

Posted 10/21/2026full-timeRemote • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and managing AI data projects, including building automation with LLM agents and configuring workflows. Proficient in data analytics and project management, ensuring quality assurance and effective collaboration with external vendors.

Highest-signal resume keywords

Intermediate JavaScriptIntermediate PythonAgent Building in ClaudeLLM Evaluation ExperienceData Analytics Background

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Data Project DesignAutomation BuildingWorkflow ConfigurationQuality Assurance DesignData Collection and AnnotationError MeasurementTask Specification CreationProduction Automation MaintenanceAPI ConnectionProject Management

Soft Skills

Decision MakingCollaborationStakeholder Management

Tools & Technologies

ClaudeEnterprise Agentic EnvironmentAutomation Tools

Industry Keywords

Data Collection IndustryAnnotation IndustryQuality Data Analysis

Tech Stack

Tools & technologies

JavaScriptPython

About the role

Key responsibilities & impact

Design and run AI data projects
Build hybrid automation combining deterministic tooling with LLM agents
Decide which workflow steps should use rules versus models and design hand-offs
Set up and run agents in Claude and the native enterprise agentic environment
Configure task specifications, data and tool connections, schedules, monitoring, and failure handling
Design quality assurance workflows, guidelines, rubrics, and scorecards
Calibrate automated checks against human reviewers and measure error categories
Run data collection and annotation projects end to end, including scoping, vendors, workflows, tracking, and delivery
Build tooling for project coordinators
Collect, clean, and analyze production and quality data
Create reporting on throughput, rework, error rates, and contributor performance
Test automation before release and build continuous auditing workflows
Create specifications, tickets, and runbooks for coordinators and engineers

Requirements

What you’ll need

Intermediate JavaScript and Python, sufficient to build and maintain production automation
Hands-on agent building in Claude, including projects, skills, connectors, and scheduled tasks
Ability to build agents in the native enterprise agentic environment and connect APIs with native infrastructure
LLM evaluation experience, including prompt and rubric design and calibration against human judgment
Data analytics background with experience in the data collection or annotation industry
Experience managing projects with external vendors or contributors and multiple stakeholders
Ability to make and own decisions with incomplete information

Benefits

Comp & perks

Remote work arrangement
Full-time, fixed-term employment (1 year with possibility to extend)