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Halter

Data Operations Specialist

Hybrid

Part remote, part office, you need to live within commuting distance of a named location.

Hybrid · Auckland

Employer listed it 8 weeks ago · Added 4 days ago

Been open since 8 weeks ago. Long-running listings are sometimes left up after the role is filled.

Salary

Not stated

Location

Hybrid · Auckland

Timezone

Not stated

Contract

Contract

Experience

Mid

Category

Software

This employer didn't state pay. Jobs like this usually pay around $165k–$255k a year, a typical range taken from 594 mid-level software roles on Nomaders that do state pay. It's a guide, not an offer.

Remote flexibility

Hybrid

This role is only partly remote, the employer expects time in the office around Auckland, Morrinsville, Hybrid, so you need to live within commuting distance.

What the employer says

  • Source listing states candidate location: "Auckland, Morrinsville, Hybrid"
  • Listing mentions "Hybrid"

What Nomaders makes of it

  • Not suitable if you plan to move between countries

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

About the role

About Halter

At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard.

We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund , Bessemer Venture Partners , BOND, DCVC , Blackbird , Promus Ventures , Rocket Lab’s Peter Beck and Icehouse ventures .

To find out more, visit our LinkedIn & Instagram .

Term: 6 months with the possibility of progressing to full-time if performance and business need allow.

Data is in our DNA at Halter, and represents one of our highest leverage assets for delivering value to farmers and ranchers. The performance of Halter’s predictive models are hugely influenced by the ground truth data used to train them. As such, we’re building a dedicated machine learning Data Operations function to own the full lifecycle of ground truth datasets: from collection of measurements with wide geographic diversity, through to annotation, and quality control—so that our ML teams can innovate with urgency, and ship reliable, high‑impact capabilities to farmers.

What you’ll do

You will be on the ground collecting the real-world measurements and field data that our machine learning models depend on. This is hands-on, high-volume work where quality and consistency matter as much as speed. You'll execute the collection campaigns that feed our ground-truth datasets — plate-metering paddocks, monitoring cow behaviour, capturing drone imagery — and be the front line that makes sure the data reflects what's actually happening in the paddock.

In-field data and measurement collection

Coordinate and interact with farmers to respectfully engage with their farms for the purpose of collecting data to build product to serve them

Carry out ground-truth data collection on farms: pasture biomass measurements, sensor readings, imagery capture, and animal or environmental observations against defined protocols to name a few.

Operate collection equipment and tooling correctly and safely in variable field conditions (weather, terrain, livestock), and keep gear maintained, calibrated, and campaign-ready.

Follow sampling plans precisely — right sites, right cadence, right method — so datasets are representative and comparable across time and location.

Capture accurate metadata at the point of collection (location, timestamp, conditions, device, method) so every measurement is traceable back to reality.

Data quality at the source

Apply annotation and labelling guidelines consistently, flag ambiguous or edge cases, and escalate rather than guess.

Perform first-line quality checks in the field to catch obvious errors, gaps, or equipment issues before data leaves the farm, reducing rework downstream.

Surface recurring problems, unclear instructions, or systematic issues to the Data Operations Lead so processes and guidelines improve over time.

Execution and throughput

Hit collection targets and delivery milestones, managing your time across sites and campaigns to keep throughput predictable.

Follow the playbooks and help refine them based on what actually works in the field.

Keep clear records of what was collected, when, where, and any deviations, so datasets are reproducible and safe to use.

Partnership and on-the-ground presence

Build good working relationships with farmers and farm staff; represent Halter well on their land and respect their operations.

Requirements

The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.

Benefits

No benefits package published with this listing. Ask about it at first interview.

How to apply

  1. 1Check the flexibility label above, hybrid, matches where you plan to live and work.
  2. 2Tailor your CV to the role at Halter, mentioning your remote working experience.
  3. 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 5d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

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