Verified current Job

Machine Learning Engineer

Hire Hangar lists Belize City among the eligible locations for a remote contract Machine Learning Engineer role focused on data and AI systems.

Job Remote
Hire Hangar Belize City, Belize Verified 2 weeks ago
✓ 100% verification score · Source: Hire Hangar / Ashby · Always confirm final requirements on the original source.
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EmploymentContract
Work modeRemote / location-flexible
CountryBelize

Overview

Hire Hangar lists Belize City among the eligible locations for a remote contract Machine Learning Engineer role focused on data and AI systems.

Full job description

The job covers data pipelines, feature engineering, model training, evaluation and production deployment. The posting states monthly compensation tiers of US$2,500-3,000 and US$3,000-4,000.

Requirements & qualifications

The role requires machine-learning engineering capability with a strong data-engineering foundation, including data ingestion, transformation, feature engineering, model training and production deployment, with U.S.-time-zone availability.

Tips for this job

Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.

  1. Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
  2. Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
  3. Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
  4. Apply through the original employer or official recruitment destination shown on this page.

Verification notes

Checked the current official Hire Hangar Ashby posting at 2026-09-05T17:04:49Z; Belize City is explicitly listed as an eligible location and the role is Contract and Remote. No deadline was stated on the checked source.

Original authoritative source

Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.

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