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Remote Distillation Operator Jobs (NOW HIRING)

eSimplicity

LLM Specialist

Columbia, MD · On-site +1

$93K - $100K/yr

... or model distillation. * Background integrating LLM services with large-scale analytics ... Working Environment : eSimplicity supports a remote work environment operating within the Eastern ...

Expression

AI/ML Engineer

Washington, DC · On-site +1

$130K - $170K/yr

... operating within constrained compute, bandwidth, and communications environments. The ideal ... Optimize models using quantization, pruning, distillation deployment technologies. * Support ...

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Remote Distillation Operator information

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$12

$20

$29

How much do remote distillation operator jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for remote distillation operator in the United States is $20.34, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $22.84 per hour, depending on experience, location, and employer.

What is the difference between Remote Distillation Operator vs Remote Chemical Process Technician?

AspectRemote Distillation OperatorRemote Chemical Process Technician
CredentialsTypically requires a high school diploma or equivalent, with certifications in distillation processesRequires similar certifications, often with additional technical or safety training
Work EnvironmentOperates mainly in distillation units, often in industrial or chemical plants, with remote monitoring capabilitiesWorks in chemical processing facilities, performing maintenance and troubleshooting, sometimes remotely
Industry UsageCommonly employed in oil, petrochemical, and chemical industriesUsed across chemical manufacturing, refining, and processing sectors

The Remote Distillation Operator and Remote Chemical Process Technician roles share similar credentials, work environments, and industry applications. Both positions focus on chemical processing, often involve remote monitoring, and require technical certifications. The main difference lies in their specific focus areas: distillation versus broader chemical process management.

What is a remote distillation operator?

A remote distillation operator is a professional responsible for monitoring and controlling distillation processes from a remote location, often using specialized control systems and automation tools. They ensure the efficient separation of liquids based on boiling points, typically working in industries like oil refining or chemical manufacturing, and may require technical skills and safety certifications. This role allows for oversight without being physically present at the plant site.
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Remote Distillation Operator jobs near you
Infographic showing various Remote Distillation Operator job openings in the United States as of August 2026, with employment types broken down into 37% Full Time, 61% Part Time, 1% Contract, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $42,306 per year, or $20.3 per hour.

Senior Machine Learning Engineer

Clearview AI

Washington, DC • On-site, Remote

$180K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago

Job description

Senior Machine Learning Engineer
Department: Engineering
Employment Type: Full Time
Location: Remote USA
Compensation: $180,000 - $250,000 / year
Description
Clearview AI is the leading provider of facial recognition technologies to US law enforcement, state, and federal agencies. Our mission is to help our users solve crimes and prevent financial fraud with the responsible use of our facial recognition software. Our company is a high-octane, fast growing startup looking to hire enthusiastic and intelligent team members to join our team. To learn more about us, and our revolutionary facial recognition technology, please visit www.clearview.ai.
Senior Machine Learning Engineer
Position Summary: We are hiring a highly technical individual contributor to push the limits of our computer vision and machine learning capabilities. This is a high-impact, hands-on role for a research-minded engineer who wants to build and ship models, not manage a team. Much of the work involves large-scale visual understanding, extracting structured signals from imagery and reasoning about the real-world context behind a photograph, but we care more about deep ML/CV ability than any one problem area and welcome strong generalists.
Responsibilities:
  • Build, train, evaluate, and deploy computer vision and multimodal models, taking them from early prototype through to production
  • Design systems that infer structured attributes and spatial context from imagery, combining learned models with geometric and heuristic reasoning
  • Train and fine-tune models on large, diverse real-world image datasets, and build the pipelines to curate and label that data at scale
  • Work with vision-language models (VLMs) and build rigorous evaluation frameworks to measure their accuracy on our tasks
  • Develop and benchmark high-performance image retrieval capabilities with embedding models and vector indexing strategies
  • Optimize models for inference latency and throughput using techniques like distillation, quantization, and GPU acceleration
  • Read current research, prototype novel algorithms from academic literature, and turn promising ideas into reliable production code
  • Implement efficient, scalable data pipelines and inference infrastructure
  • Develop high-performance tooling in ML and data engineering
  • Additional duties and responsibilities as reasonably required by the employee's supervisor or CEO

Requirements and Experience
Requirements:
  • Experience building, training, evaluating, and deploying ML models in production
  • Strong experience using PyTorch, JAX, or other deep learning frameworks to develop and optimize models
  • Strong software engineering ability to build and maintain complex systems and work with large-scale datasets
  • Ability to solve open-ended problems and quickly learn new domains
  • Comfort operating with significant ownership and autonomy, making pragmatic trade-offs between model sophistication, velocity, inference and business constraints
  • BS, MS, or PhD in Computer Science or a related technical field, or equivalent practical experience

Nice to have:
  • Experience inferring structured, real-world attributes from images
  • Experience training models on large-scale, real-world image datasets
  • Familiarity with vision-language models (VLMs)
  • Ability to digest academic literature, prototype novel algorithms, and bridge the gap between research and production code
  • Experience building LLM or VLM pipelines and the evaluation frameworks to measure their performance
  • Experience in an ML role at a growth-stage startup
  • Publications in major ML or computer vision conferences (e.g., CVPR, ICML, ICCV, WACV)

Benefits
  • Medical, Dental, Vision, STD and LTD Plans
  • FSA - Medical and Dependent Care
  • EAP and wellness programs
  • 13 Paid Holidays
  • Unlimited PTO
  • Flexible work environment - 100% remote
  • 401(k) plan

Apply