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Remote Mining Jobs (NOW HIRING)

Recruiter

Salt Lake City, UT ยท On-site +1

Familiarity with mining or construction workforce challenges * Ability to travel to remote job sites * HR or recruiting certifications (SHRM, PHR, etc.) Key Competencies * Relationship building with ...

Recruiter

Bloomington, IN ยท On-site +1

Familiarity with mining or construction workforce challenges * Ability to travel to remote job sites * HR or recruiting certifications (SHRM, PHR, etc.) Key Competencies * Relationship building with ...

Machine Learning Engineer, Data Mining

Boston, MA ยท On-site +1

$144K - $192K/yr

By building smarter mining tools and efficient data pipelines, you will accelerate the model ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

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Machine Learning Engineer, Data Mining

Boston, MA ยท On-site +1

$144K - $192K/yr

By building smarter mining tools and efficient data pipelines, you will accelerate the model ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

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Remote Mining information

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How much do remote mining jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for remote mining in the United States is $26.84, according to ZipRecruiter salary data. Most workers in this role earn between $23.32 and $29.81 per hour, depending on experience, location, and employer.

What jobs will boom in 2026?

In 2026, roles in remote mining operations, such as geologists, environmental specialists, and data analysts, are expected to grow due to increased automation and digital technology integration. Skills in data management, environmental regulations, and remote collaboration tools will be valuable for these positions.

What are the typical challenges faced by professionals working in remote mining roles?

Professionals in remote mining roles often encounter challenges such as coordinating with on-site teams across different time zones, managing complex equipment remotely, and troubleshooting operational issues without direct physical access. In addition, maintaining strong communication and workflow integration can be more demanding when team members are dispersed. However, remote mining professionals are supported by advanced monitoring software, specialized technical support, and regular virtual meetings to foster collaboration. These roles offer unique opportunities to develop expertise with cutting-edge mining technology and can lead to career advancement in operations management or technical leadership positions.

What is remote mining?

Remote mining refers to mining operations conducted outside traditional on-site locations, often utilizing digital technology, remote-controlled equipment, and satellite communication. It allows workers to oversee or manage mining activities from a distance, reducing the need for physical presence at the site. Skills in technology, safety protocols, and sometimes certifications are important for remote mining roles.

What is a Remote Mining job?

A Remote Mining job involves overseeing, managing, or supporting mining operations from an off-site location using advanced technology, data analysis, and remote monitoring systems. These roles can include positions in automation, equipment operation, engineering, and data analytics. Remote mining professionals use software and communication tools to track mine productivity, ensure safety, and optimize operations without being physically present at the mine site. This helps reduce risks, improve efficiency, and lower costs. Many companies adopt remote mining to enhance worker safety and operational effectiveness.

What are the key skills and qualifications needed to thrive in the Remote Mining position, and why are they important?

To thrive in Remote Mining, you need expertise in mining operations, geology, and remote monitoring technologies, usually supported by a degree in mining engineering or a related field. Familiarity with SCADA systems, tele-remote equipment, and safety protocols is essential, along with relevant mining certifications. Strong problem-solving, communication, and self-motivation skills are vital to effectively operate at a distance and collaborate with on-site teams. These abilities ensure efficient, safe, and successful mining operations from off-site locations.

What job in mining pays the most?

In mining, the highest-paying roles are often senior positions such as mine managers, engineering managers, and geologists with extensive experience. Specialized roles like mining engineers with advanced skills or certifications can also command high salaries, especially in remote or resource-rich areas. These positions typically require relevant technical qualifications and experience in the industry.

What jobs make around $100,000 a year?

In remote mining roles, positions such as senior geologists, mining engineers, and project managers often earn around $100,000 annually, especially with experience and specialized skills. These roles typically require technical expertise, certifications, and knowledge of mining software and safety protocols.
More about Remote Mining jobs
What cities are hiring for Remote Mining jobs? Cities with the most Remote Mining job openings:
What are the most commonly searched types of Mining jobs? The most popular types of Mining jobs are:
What states have the most Remote Mining jobs? States with the most job openings for Remote Mining jobs include:
Infographic showing various Remote Mining job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution, with an average salary of $55,819 per year, or $26.8 per hour.
Machine Learning Engineer, Data Mining

Machine Learning Engineer, Data Mining

Motional

Pittsburgh, PA โ€ข On-site, Remote

$111K - $133K/yr

Other

Posted 2 days ago


Job description

Mission Summary:
At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.
As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain" of this engine. You will work with state-of-the-art foundation models to extract insights from Motional's driving data, working at the intersection of large-scale representation learning and data retrieval. By building smarter mining tools and efficient data pipelines, you will accelerate the model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.

What You'll Do:

  • Build and Train ML Pipelines: Develop, train, and fine-tune machine learning models for multimodal sensor data (e.g., vision, LiDAR). Focus on implementing supervised and self-supervised learning approaches to improve data search and retrieval.
  • Support Model Deployment: Implement scalable data preprocessing and augmentation pipelines. Assist in applying standard optimization techniques (e.g., batch inference, quantization) to ensure models run efficiently in production environments.
  • Data Mining & Analysis: Help develop embedding-based search tools and "active learning" workflows to identify critical driving scenarios.
  • Monitor Production Performance: Help build and maintain dashboards to monitor model health, data drift, and system performance. Identify regressions and assist in the operational support of our data mining services.
  • Learn and Apply Best Practices: Follow software engineering standards (version control, CI/CD, unit testing) for ML code. Participate in code reviews and contribute to technical documentation.
  • Collaborate Across Teams: Work closely with senior engineers and machine learning engineers to translate model prototypes into maintainable, scalable engineering solutions.

What We're Looking For (Must-Haves):

  • BS or MS in Computer Science, Machine Learning, or a related field.
  • Hands-on experience with PyTorch (preferred) or TensorFlow/JAX. You should be comfortable training models and evaluating them using standard metrics.
  • Strong proficiency in Python with the ability to write clean, modular, and well-documented code.
  • Working knowledge of version control, unit testing, and basic software design patterns.
  • Experience working with large datasets, including proficiency in SQL and data libraries like Pandas and NumPy.
  • A solid grasp of the full ML lifecycle, from data cleaning and feature engineering to validation and deployment basics.
  • A proactive learner who thrives on constructive feedback and is eager to grow within a high-stakes engineering environment.

Bonus Points (Nice-to-Haves):

  • MS/PhD in Computer Science, Machine Learning, or related field.
  • Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
  • Background in autonomous driving, robotics, or real-time decision-making systems.
  • Familiarity with multimodal learning, sensor fusion, or embodied AI.
  • Experience building active learning loops, using the model to find the data that breaks the model.
  • Experience with ML-based data mining, active learning, or contrastive learning.
  • Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
  • Publication in top-tier conferences (e.g., ICCV, CVPR, ECCV)

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.