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Remote Data Mining Jobs in Bothell, WA (NOW HIRING)

techire ai

Applied Scientist

Seattle, WA · On-site +1

Applied research from research to data to model fine-tuning & training and evals. * Training (pre ... Remote is considered for exceptional candidates. If solving unique technical challenges in an ego ...

Expedia

Machine Learning Scientist III

Seattle, WA · Remote

Our Machine Learning and Data Science team are growing! We are looking to hire researchers and data scientists interested in breaking new ground to tackle some of the most complex customer experience ...

Axon

AI Scientist I

Seattle, WA · On-site +1

Design and implement efficient and scalable MLLM models for inference and analysis of visual data. * Explore novel approaches to address challenges in object detection, recognition, tracking ...

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All JobsData Mining JobsRemote Data Mining JobsRemote Data Mining Jobs in Bothell, WA

Remote Data Mining information

See Bothell, WA salary details

$51.4K

$184.5K

$272.2K

How much do remote data mining jobs pay per year?

As of Jul 10, 2026, the average yearly pay for remote data mining in Bothell, WA is $184,472.00, according to ZipRecruiter salary data. Most workers in this role earn between $149,200.00 and $190,000.00 per year, depending on experience, location, and employer.

What careers use data mining?

Data mining is used in various careers such as data analyst, data scientist, business intelligence analyst, and market researcher. These roles involve analyzing large datasets to extract insights, often using tools like SQL, Python, or R, and require strong analytical skills and knowledge of data management.

What is a Remote Data Mining job?

A Remote Data Mining job involves extracting, processing, and analyzing large datasets to uncover patterns, trends, and insights—all while working from a remote location. Professionals in this field use statistical methods, machine learning techniques, and specialized software to transform raw data into actionable insights. These roles are common in industries like finance, marketing, healthcare, and e-commerce, where data-driven decision-making is essential. Remote data miners typically collaborate with teams via digital communication tools and may need proficiency in programming languages like Python or R.

Is 40 too late for data science?

Age is not a barrier to becoming a remote data mining or data science professional. Many individuals successfully transition into data roles later in life by acquiring relevant skills such as programming, statistics, and tools like Python or SQL, often through online courses or certifications. Employers value experience and skills over age, making it possible to start or switch careers at 40 or older.

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

To thrive as a Remote Data Mining professional, you need strong analytical abilities, statistical knowledge, proficiency in programming languages such as Python or R, and a background in computer science, data science, or a related field. Expertise in data mining tools like SQL, RapidMiner, or Weka and familiarity with data visualization platforms are highly valued, and certifications in data analytics can be advantageous. Attention to detail, problem-solving skills, and effective communication are important soft skills for collaborating remotely and presenting insights to stakeholders. These skills enable you to extract valuable patterns and insights from large datasets while working independently and aligning with organizational goals.

What are some common challenges faced by remote data mining professionals, and how can they be addressed?

Remote data mining professionals often encounter challenges such as managing large and complex datasets, ensuring data privacy, and maintaining effective communication with distributed teams. Addressing these challenges typically involves leveraging secure cloud storage solutions, utilizing robust data analysis tools, and adopting clear documentation and regular virtual meetings to stay aligned on project goals. Additionally, building strong time management habits and being proactive in seeking feedback from team members can help remote data miners stay productive and engaged. Most organizations provide access to collaboration platforms and training to help overcome these obstacles, ensuring a supportive and efficient remote work environment.

Can I get a remote data entry job?

Remote data mining jobs are available and often involve collecting, processing, and analyzing large datasets from home. These roles typically require skills in data management tools, attention to detail, and sometimes basic knowledge of databases or programming. Many companies offer flexible schedules for such positions, which can be suitable for remote work seekers.

Is data mining a good career?

Data mining is a viable career that involves analyzing large datasets to extract useful information, often requiring skills in statistics, programming, and data analysis tools. It offers opportunities in various industries such as technology, finance, and healthcare, with demand for professionals who can interpret data and support decision-making. The role typically involves continuous learning and proficiency with software like SQL, Python, or R.
What are popular job titles related to Remote Data Mining jobs in Bothell, WA? For Remote Data Mining jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Remote Data Mining jobs in Bothell, WA look for? The top searched job categories for Remote Data Mining jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Remote Data Mining jobs? Cities near Bothell, WA with the most Remote Data Mining job openings:
Remote Data Mining jobs near you

Applied Scientist

techire ai

Seattle, WA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago

Job description

Create agentic AI for industries where decisions matter: from healthcare to aerospace. Oh, and you’ll have the compute power to train large models to solve this challenge.

Your role as Applied Scientist is to build next-generation AI agents solving real problems in regulated STEM fields. You’ll train large transformer models and work on reasoning and agentic AI to create secure, explainable agentic AI systems for regulated environments.

You'll be joining a top team, ex-big tech and start-up execs, and a founder who is a successful entrepreneur with billion-dollar+ exits. This company is tackling the significant architectural, security, and ethical challenges of current AI systems. They've also raised $20 million and are already working with companies in industries where standard AI approaches fall short.

Your focus:

  • Applied research from research to data to model fine-tuning & training and evals.
  • Training (pre & post-training) and fine-tuning Large Language Models (text and multimodal) specifically for complex industry workflows.
  • Creating systems with strong reasoning and explainability capabilities.
  • Working with complex datasets (proprietary, customer, and synthetic).
  • Implementing supervised fine-tuning and reinforcement learning techniques.
  • Collaborating with engineering teams to pass off model deployment.

The ideal candidate has:

  • Hands-on experience training LLMs from scratch.
  • Deep understanding of transformers.
  • Experience in Applied Research.
  • Strong Python and PyTorch skills.
  • Experience with NLP or multimodal models (computer vision backgrounds considered if you've worked with large transformer models).
  • Track record of building real AI products with measurable impact.

They offer:

  • Abundant compute resources for training large models.
  • Salary ranges from $200k-$250k for experienced hires, plus up to 20% performance bonus.
  • Significant share package.
  • Healthcare (medical, dental, vision).
  • 401k.
  • 20 vacation days and flexible working hours.

You'll join a team that values clear communication, hands-on building, and a no-ego culture. The research team is small now but growing to 15-20 members within the next year, giving you significant influence on direction and approach – giving the chance to put your stamp on truly Agentic systems.

You’ll be based in the US – ideally in Seattle, or Miami. Remote is considered for exceptional candidates.

If solving unique technical challenges in an ego-free environment with strong resources appeals to you, reach out for a confidential conversation. Everyone will receive a response.

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