Tech AI Data Delivery Manager
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 11d ago
The date the source published, not the day we noticed it (2026-10-21). Last seen at its source just now.
We have tracked this listing since 21 Oct 2026 (11 days). The employer's own board has carried it every time we have read it, most recently just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
India
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay A$1,650–2,250/mo
Middle 50% of 17 listings that do state pay — Operations · all levels · APAC · AUD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Recruitee employer's own board first seen 11d ago · last seen just now
The listing
Role Summary
You'll design and run AI data projects and build the automation behind them, combining deterministic tooling with LLM agents to deliver solutions in quality management, project management, and data analytics.
Key Responsibilities
Build hybrid automation: Pair deterministic components (scripts, validation rules, trackers, scheduled jobs) with stochastic ones (LLM agents that score, classify, check, report, etc.). Decide which steps must be rules and which can be models, and design the hand-offs between them.
Set up and run agents in Claude and in our native enterprise agentic environment: task specs, connections to data and tools, schedules, monitoring and failure handling.
Quality management: Design QA workflows, guidelines, rubrics and scorecards; calibrate automated checks against human reviewers; turn review findings into error categories you can measure and fix.
Project management: Run data collection and annotation projects end to end (scoping, vendors, workflows, tracking, delivery) and build the tooling that lets coordinators run the day.
Data analytics: Collect, clean, and analyse production and quality data (throughput, rework, error rates, contributor performance) and turn it into reporting that teams and clients act on.
Verify everything: Test automation before release and build continuous auditing parallel workflows to ensure quality.
Document so others can run it: short specs, tickets and runbooks that let coordinators and engineers operate and extend what you build.
Required Qualifications
Intermediate JavaScript and Python: enough to build and maintain automation in production, not just prototypes.
Hands-on agent building in Claude (projects, skills, connectors, scheduled tasks), and the ability to do the same in our native enterprise agentic environment (connecting different APIs with our native infrastructure).
LLM evaluation experience: prompt and rubric design, calibration against human judgement, and the skepticism to catch a confident wrong answer.
A data analytics background, with experience in the data collection or annotation industry.
Experience managing projects with external vendors or contributors and multiple stakeholders.
Comfort making calls on incomplete information, and knowing how to make and own your decisions.