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Remote Full Stack Machine Learning Engineer Jobs in Roseburg, OR

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Creative Prompt Engineering: Experience in designing creative, multi-turn starting prompts based on ... Rigorously evaluating and stack-ranking two model responses side-by-side (SxS) to determine which ...

Remote Job Summary Sapiens is on the lookout for a Software Developer to become a key player in our ... This position will have demonstrated and verifiable experience with full lifecycle software ...

Software Developer

OR · On-site +1

Remote Job Summary Sapiens is on the lookout for a Software Developer to become a key player in our ... This position will have demonstrated and verifiable experience with full lifecycle software ...

With over 5,000 successful projects, we support the full data lifecycle through a unified platform ... This role can be remote based in the US. WHAT YOU WILL DO Prospect, develop and close new business ...

New

Senior Lead System Architect

OR · Remote

$132K - $176K/yr

... across engineering, product, and business teams to deliver innovative solutions that help our ... Location This is a remote opportunity open to candidates located anywhere in the U.S. The Main ...

Work directly with OEM engineering teams to redesign rope systems to increase safety and ... Learning programs developed by our L&D department. * A great opportunity to play your part in an ...

Work directly with OEM engineering teams to redesign rope systems to increase safety and ... Learning programs developed by our L&D department. * A great opportunity to play your part in an ...

Remote The Strategic Account Director is a senior, quota-carrying sales role responsible for ... Position Sapiens' full platform and value proposition aligned to customers' transformation ...

Head of AI

OR · Remote

Foster a culture of engineering rigor, responsible AI, collaboration, and continuous learning ... Strong understanding of modern AI stack: GenAI (LLMs), Agentic AI, ML, data engineering, AI ...

Head of AI

OR · On-site +1

Foster a culture of engineering rigor, responsible AI, collaboration, and continuous learning. • ... Strong understanding of modern AI stack: GenAI (LLMs), Agentic AI, ML, data engineering, AI ...

... to the Engineering & Product team, - You can help us brainstorm and problem-solve ways we can ... You love being in fast-paced environments where you are constantly learning. And you love helping ...

Location This is a remote opportunity open to candidates located anywhere in the U.S. The Main ... Engineering, or a related field; equivalent relevant experience may be considered. * 8+ years of ...

Lead, Digital Product Management

OR · Remote

$125K - $165K/yr

In this role, you will partner closely with product, design, engineering, analytics, merchandising ... Fully Remote * Sponsorship Eligibility: UA does not offer sponsorship of job applicants for ...

Remote The Strategic Account Director is a senior, quota-carrying sales role responsible for ... Position Sapiens' full platform and value proposition aligned to customers' transformation ...

Lead, Digital Product Management

OR · On-site +1

$125K - $165K/yr

In this role, you will partner closely with product, design, engineering, analytics, merchandising ... Fully Remote * Sponsorship Eligibility: UA does not offer sponsorship of job applicants for ...

Showing results 41-60

Remote Full Stack Machine Learning Engineer information

See Roseburg, OR salary details

$45.1K

$136.4K

$192.9K

How much do remote full stack machine learning engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for remote full stack machine learning engineer in Roseburg, OR is $136,445.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,400.00 and $160,000.00 per year, depending on experience, location, and employer.

What is a remote full stack machine learning engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are the key skills and qualifications needed to thrive as a remote full stack machine learning engineer?

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.

What are some common challenges faced by remote full stack machine learning engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

What is the difference between Remote Full Stack Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

What are popular job titles related to Remote Full Stack Machine Learning Engineer jobs in Roseburg, OR?

For Remote Full Stack Machine Learning Engineer jobs in Roseburg, OR, the most frequently searched job titles are:

AI Quality Analyst (30 USD per hour 1 year experience)- English REMOTE

OR • Remote

$16 - $17/hr

Contractor

Posted 6 days ago

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Job description

Role: LLM -AI Quality Analyst (Personalization) - English (NO C2C - Only freelancers can apply)

YoE: 1 year

Engagement Type: Short Term Contract (4 month)

Start Date: Immediately

Skill: Experience in data annotation, AI quality evaluation, content moderation, or a related role is strongly preferred.

Availability: Full Time Availability(8 Hrs) and 4 hours overlap with the PST time zone for US


About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L

Role Overview:

As an AI Quality Analyst, you will evaluate a new personalization feature for Gemini. You will assess how well the model uses information from your past Gemini conversations, Gmail, Google Search, and YouTube activity to make responses more relevant and helpful. This role requires a unique blend of creativity and analytical rigor. You will actively design prompts from the perspective of your own personal experiences. You will then use your analytical skills to assess the quality of the model's personalized responses, evaluating dimensions like Grounding, Integration, and Helpfulness.

Key Qualifications

  • English Proficiency: Ability to read and write in English with a high degree of comp, as English is the focus language for this project.
  • Personal Account Usage: Willingness to use your primary personal Google account (not a testing account) and enable personal data sources for a genuine assessment.
  • Schedule Flexibility: Full-time availability in your local time zone is required. We are staffing a global, 24-hour operations team.
  • Exceptional Analytical Thinking: Demonstrate ability to evaluate nuanced and ambiguous AI responses, specifically assessing personalization quality.
  • Creative Prompt Engineering: Experience in designing creative, multi-turn starting prompts based on personal context to thoroughly test the model's capabilities.
  • Strong Evaluation Acumen: Understanding of personalization concepts, including the ability to identify incorrect personalization, poor inferences, and forced connections.
  • Meticulous Attention to Detail: The ability to review Side-by-Side (SxS) model responses and spot subtle differences in naturalness and overnarrating.
  • Excellent Written Communication: Superior ability to write clear, concise, and structured rationales for model rankings, explicitly referencing specific turn numbers.
  • Feedback: Ability to provide constructive feedback and detailed annotations.
  • Communication: Excellent communication and collaboration skills.
  • Independence: Self-motivated and able to work independently in a remote setting.
  • Technical Setup: Desktop/Laptop set up with a good internet connection.

Description:

  • In this role, you will be part of a dynamic team focused on evaluating the quality of personalized AI interactions. Your day-to-day work will involve:
  • Designing and executing multi-turn conversational prompts (typically 1-5 turns) that require the AI to utilize your personal information and experiences.
  • Evaluating model responses based on your intent from the starting prompt, checking if the personalization was appropriately applied.
  • Analyzing responses for Grounding issues, ensuring claims about you are supported by evidence and not flawed inferences or hallucinations.
  • Assessing Integration quality to ensure personal data is woven naturally into the response without robotic "overnarrating".
  • Rigorously evaluating and stack-ranking two model responses side-by-side (SxS) to determine which is overall more helpful, easy to use, and enjoyable.
  • Writing clear, defensible rationales for your comparisons, explicitly referencing where issues or positive aspects occurred in the conversation.
  • Extracting and verifying "Debug Info" from the model to confirm that chat summaries and data sources were properly utilized.
  • Maintaining strict data hygiene by deleting evaluation conversations to prevent them from polluting your future chat history.

Education & Experience

  • BS/BA degree or equivalent experience in a relevant field (e.g., Policy, Law, Ethics, Linguistics, Journalism, Computer Science, or a related analytical field).
  • Experience in data annotation, AI quality evaluation, content moderation, or a related role is strongly preferred.

Offer Details:

  • Commitments Required: at least 4 hours per day and minimum 30 hours per week with 4 hours of overlap with PST. (We have 2 options of time commitment: 30 hrs/week or 40 hrs/week)
  • Engagement type: Contractor

Evaluation Process -

  • Shortlisted candidates will be sent a Job Interest Form.
  • After the profile review, an assessment will be shared, which must be completed within 24 hours.
  • Based on the assessment outcomes, shortlisted candidates will be contacted to discuss the pre‐onboarding requirements.