Machine Learning Data Engineer (Contract)

Remote Hiring Remotely in USA Mid level Remote Hiring Remotely in USA Mid level Own computer-vision accuracy end-to-end: measure per-customer metrics, investigate misclassifications, curate and label datasets, prioritize retraining, and build continuous learning pipelines. Partner with ML/CV engineers and stakeholders to define acceptance criteria, translate findings into actionable fixes, and eventually implement tooling and retraining to ship regular model improvements. The summary above was generated by AI, * Own tracking and reporting of CV accuracy metrics, per customer and per identifier type.

• Investigate misclassifications and false negatives, categorize root causes, and identify patterns across customers and yards.
• Curate, label, and prioritize datasets for model retraining, partnering closely with our ML and CV engineers.
• Build and improve the continuous learning pipeline so new models ship weekly with minimal manual engineering effort.
• Define functional acceptance criteria for CV accuracy per customer and track progress against them.
• Translate accuracy findings into decisions the engineering team and customer-facing stakeholders can act on.
• As the pipeline matures, expect to move from flagging issues to fixing them directly; building the labeling/preprocessing tooling, running retraining jobs, and owning fixes for the error patterns you find, not just reporting them.

What You Can Expect:

• Direct ownership over the metric that decides whether our product works in the real world.
• A small team that moves fast, argues in good faith, and trusts engineers to make decisions.
• Real influence on what the ML team builds next; your findings drive the roadmap, not the other way around.
• Problems grounded in the physical world: gates, cameras, trucks, and yards., This role is a full-time contract position. You’ll work closely with our core engineering team - embedded in our sprints, standups, and Slack channels - but employment is managed through the agency. We’ve built this model successfully with engineers in Latin America, and it’s been a great fit for both sides., Handle incoming owner relations inquiries about revenue, land, division orders, JIB, A/R, and A&P. Log and follow up cases in a tracking system, build trusting client relationships, manage difficult situations calmly, provide accurate timely responses, and participate in cross-training. Top Skills: MS Office Enverus

• 3+ years in a data quality, ML data engineering or applied ML role.
• Experience working with computer vision or object detection systems in production.
• Comfortable writing Python for data analysis, pipeline automation, and dataset tooling.
• Strong analytical rigor, comfortable digging into large volumes of imagery/data to find patterns, not just running a script and reporting a number.
• Experience with dataset annotation/labeling tools and workflows (Roboflow, Labelbox, CVAT, or similar).
• Strong communication skills in English - you write clearly and engage well async., * Experience with continuous learning or active learning pipelines for production ML systems.
• Familiarity with OCR systems and identifier recognition (plates, container numbers, etc.).
• Experience partnering with customer success or support teams on quality metrics.
• Background in QA/test engineering for ML systems.
• Experience with Roboflow specifically.

In-Office or Remote 2 Locations 43K-58K Annually Mid level 43K-58K Annually Mid level, In-Office or Remote 2 Locations 120K-135K Annually Senior level 120K-135K Annually Senior level Big Data * Information Technology * Software * Analytics * Energy Serve as a strategic advisor driving adoption and value of Enverus Power & Renewables products. Lead onboarding, training, client engagements, and account strategy; present analytics, gather product feedback, support renewals, and expand user adoption while collaborating with sales and product teams. Top Skills: APIsMosaicPanoramaPrismPythonSalesforce Mochi Health, Healthtech * Telehealth Handle inbound patient calls to answer questions about prescriptions, refills, appointments, and account status. Document interactions, follow up via secure portal when needed, escalate clinical issues per protocol, and maintain HIPAA and patient safety standards. Part-time, phone-first role with potential conversion to permanent. Top Skills: Headset With MicrophoneReliable Internet (25 Mbps)Secure Patient Portal

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Outpost is building the backbone of freight. We’re reinventing how supply chain infrastructure works in America with carrier agnostic truck terminals. As a vertically integrated real estate, operations, and technology company, we acquire and operate mission-critical real estate across the country to serve the largest logistics providers in the world. Backed by $1B from Greenpoint Partners, we’re scaling and building the most valuable logistics network in the country.

We thrive on accountability, integrity, and a shared drive to raise the bar. If you’re excited to reshape the industry alongside a high-performance team with a championship mindset that executes relentlessly, welcome aboard.

Role Summary:

Our platform combines AI-powered gate automation, computer vision, and operational software to help logistics operators run smarter, faster facilities. We’re a small, high-conviction team shipping real software that ends up in real yards, at real gates, moving real freight; and we’re growing fast, with revenue set to grow 10X over the next 18 months.

As we onboard more customers, our computer vision system sees more camera layouts, identifier types, and edge cases than ever. We need someone to own accuracy end-to-end: measuring it, understanding why we get it wrong, and turning that into the labeled data that makes our models better. Today that’s mostly measurement and curation. Once the pipeline matures and moves into maintenance mode, we expect this role to also contribute fixes to the product itself, not just flag issues for others to resolve.