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Machine Learning Contract Remote Jobs in Portland, OR

Discogs

Product Designer (REMOTE)

Beaverton, OR · On-site +1

$75K - $89K/yr

... machine-readable design system across Figma and GitHub. You're an AI optimist - you treat it as a ... Stay curious, open-minded, and proactive about learning who our users are and what helps them on ...

DataAnnotation

QA Engineer - AI Trainer

Portland, OR · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

SDLC Engineer - AI Trainer

Vancouver, WA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

SDLC Engineer - AI Trainer

Gresham, OR · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

QA Engineer - AI Trainer

Gresham, OR · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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All JobsMachine Learning Contract JobsMachine Learning Contract Remote JobsMachine Learning Contract Remote Jobs in Portland, OR

Machine Learning Contract Remote information

See Portland, OR salary details

$27K

$45.2K

$93.3K

How much do machine learning contract remote jobs pay per year?

As of Jul 11, 2026, the average yearly pay for machine learning contract remote in Portland, OR is $45,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,500.00 and $48,800.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote machine learning contractors, and how can they be effectively addressed?

Remote machine learning contractors often face challenges such as managing communication across time zones, accessing necessary data securely, and staying aligned with the client's project expectations. To address these, it’s important to establish clear communication channels, use secure data transfer protocols, and schedule regular check-ins with project stakeholders. Building strong documentation habits and leveraging collaborative tools like version control or shared notebooks can also help ensure smooth workflow and project transparency.

What are the key skills and qualifications needed to thrive as a Machine Learning Contractor in a remote role, and why are they important?

To thrive as a Machine Learning Contractor working remotely, you need strong proficiency in mathematics, programming (typically Python), and a solid understanding of machine learning algorithms, usually supported by a relevant degree or equivalent experience. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and cloud platforms such as AWS or Azure is essential, as well as experience with version control systems like Git. Excellent self-motivation, time management, and communication skills help you effectively collaborate with distributed teams and manage multiple projects independently. These competencies are crucial for delivering high-quality, scalable solutions and meeting client expectations in a flexible, remote work environment.

What are machine learning contract remote jobs?

Machine learning contract remote jobs are temporary work opportunities where professionals use machine learning techniques to solve problems for organizations, but do so remotely, often from home or another location. These roles typically involve building, training, and deploying models, analyzing data, and collaborating with teams virtually. Contracts can vary in length and scope, allowing flexibility for both the employer and the worker. These positions are ideal for individuals seeking project-based work or more flexible schedules, and require strong technical skills and the ability to communicate effectively online.

What is the difference between Machine Learning Contract Remote vs Data Scientist Contract Remote?

AspectMachine Learning Contract RemoteData Scientist Contract Remote
Required CredentialsDegree in Computer Science, Data Science, or related field; experience with ML frameworksDegree in Statistics, Data Science, or related; proficiency in data analysis tools
Work EnvironmentRemote, project-based, often collaborative with ML engineersRemote, analytical, often cross-functional teams
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting
Common Search & ComparisonYesYes

Machine Learning Contract Remote roles focus on developing and deploying ML models, requiring specialized skills in algorithms and frameworks. Data Scientist Contract Remote positions emphasize data analysis, statistical modeling, and insights generation. While both roles often work remotely and share similar credentials, their core responsibilities differ, making this comparison useful for job seekers exploring related opportunities.

What are popular job titles related to Machine Learning Contract Remote jobs in Portland, OR? For Machine Learning Contract Remote jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Machine Learning Contract Remote jobs in Portland, OR look for? The top searched job categories for Machine Learning Contract Remote jobs in Portland, OR are:
Machine Learning Contract Remote jobs near you
Product Designer (REMOTE)

Product Designer (REMOTE)

Discogs

Beaverton, OR • On-site, Remote

$75K - $89K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 24 days ago

Job description

Product Designer (REMOTE)
Department: Product Design
Employment Type: Full Time
Location: REMOTE US
Compensation: $75,000 - $89,000 / year
Description
We are reimagining the ultimate journey for music lovers and record collectors worldwide - for the next generation, and for our long-time loyalists. As a Product Designer, you won't just be moving pixels - you'll solve real customer problems in a fast-paced, iterative environment, working directly with squads and partnering closely with Product Managers, Engineers, and fellow designers to create a unified experience across the Discogs ecosystem.
Discogs is a music discovery and record collecting platform with a passionate following and massive growth potential. Preserving the utility our loyalists depend on while making it intuitive for the next generation of music fans and record collectors is a defining challenge of this role. We're looking for a designer who can move fluently between high-level user flows and the craft of impactful, intuitive UI - someone who can envision and map how an experience should work, then bring it to life in an elevated user interface.
You bring high technical aptitude and a strong understanding of how design translates into code. You'll help establish patterns across our ecosystem that simplify decision-making downstream - for designers, engineers, and the product as a whole - and you'll be an active participant in evolving our machine-readable design system across Figma and GitHub. You're an AI optimist - you treat it as a collaborator that unlocks velocity and extends your skill set.
Beyond the craft, we want someone genuinely excited about music discovery and record collecting - someone who explores artist discographies and label catalogs, and brings real enthusiasm for what Discogs can become. If you don't yet know why an original pressing matters to a collector, you're curious and proactive to learn why - and to channel those insights into your designs. You actively research, ideate, and present ideas, and you bring that voice and insight back to your squad as the autonomous voice of design within it.
Location
While we are a remote company we are only hiring for the following locations: OR, WA, CA, CO, TX, IL
CompensationBase Annual salary range - $75,000 - $89,000
Key Responsibilities
What You'll Accomplish
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • Champion solving user problems: User problems drive the work. You stay close to what collectors and sellers actually need, and you measure your work by whether it solves real problems for them.
  • Understand users: Stay curious, open-minded, and proactive about learning who our users are and what helps them on their music discovery and collecting journey. Participate in usability testing and research, and iterate on designs based on what you learn.
  • Exercise design thinking: Take a human-centered approach to problem-solving - understand user needs, challenge assumptions, and create solutions through iterative prototyping and testing.
  • Ideate with impact: Support product squads with rapid wireframing, information architecture, and prototyping to validate ideas quickly.
  • Design end-to-end with squads: From discovery and research through high-fidelity Figma mockups, interactive prototypes, and final machine-readable designs that are ready for engineering handoff with minimal translation, partner with product squads to ideate, validate, and ship new experiences across web and mobile.
  • Elevate UX and visual design: Combine Discogs' new brand identity with UX best practices to create intuitive, streamlined user flows and modern interfaces that are as visually compelling as they are functional.
  • Design responsively: Translate and optimize design solutions for impact and usability at any screen size.
  • Find creative range within meaningful constraints: The design system, brand identity, and engineering realities are the conditions that make your work shippable and durable. Structure your Figma work the way it will live in code: component properties, variants, and modes that map cleanly to engineering, with layer architecture and auto-layout that treat the design-to-code seam as a contract.
  • Bridge design and engineering: Partner with engineers to keep tokens, components, and patterns in sync between Figma and the codebase. Treat our machine-readable design system as a shared product - what's in Figma flows cleanly into code, and what engineers learn in implementation flows back into the system.
  • Collaborate and iterate: Work closely with PMs, engineers, and fellow designers to ensure technical feasibility and consistency across the holistic product experience. Show work early and often, welcome feedback, and iterate toward excellence.
  • Balance speed and quality: Manage your time effectively, prioritize high-impact work, and deliver polished outcomes on a healthy cadence.

Department/Team Specific Focus
  • Discovery Squad - Home Page, Search, Dashboard, Collection, Genre/Style pages, User Lists

Skills, Knowledge and Expertise
What You'll Contribute
  • Design expertise: Deep understanding of product design fundamentals - user-centered design practices, interaction design, and the foundational craft of typography, color, scale, hierarchy, and composition. Sound, well-reasoned visual decisions are second nature to you.
  • Design system fluency: Hands-on experience contributing to a design system, not just consuming one. You're fluent in tokens, component properties, variants, modes, atomic design, and the naming conventions that keep a system consistent and machine-readable - and you understand why these matter when designs need to live in code.
  • Figma mastery: Deep proficiency with Figma variables, modes, component properties, auto-layout, and library architecture. You build files that other designers and engineers can actually use.
  • Systems thinking: You see the patterns across a product and articulate them in ways that simplify decisions for everyone downstream. You design with reuse, consistency, and clarity in mind.
  • Technical aptitude: A strong understanding of how design translates into code. You don't need to ship production code, but you can read it, understand how property/value pairs and tokens work, and design with implementation in mind. If parts of this are new to you, you have the aptitude and appetite to learn.
  • Attention to detail: A passion for designing beautiful, modern, user-friendly experiences - and for the structural details that make designs durable and effective.
  • Human-centered mindset: Proven ability to advocate for the user and translate user insight into product decisions.
  • Collaboration and communication: You articulate ideas and design decisions clearly across design, product, and engineering. You're confident in your work and actively seek feedback to validate ideas, expand possibilities, and challenge your own assumptions.
  • Accountability and time management: Deliver projects on time and in scope across multiple workstreams in a fast-moving, startup-like environment. When ambiguity arises, you communicate proactively to find clarity rather than waiting for it.
  • Commitment to growth: Embrace the unknown with curiosity as you hunt for solutions. You're committed to continuously expanding your technical and professional skillset.
  • AI fluency: Proactive interest in applying AI to product design - to improve design processes, technical output, and user outcomes.
  • Accessibility advocacy: Working knowledge of accessibility standards, or genuine enthusiasm to learn and implement them.
  • Genuine enthusiasm for music discovery and record collecting: You have and collector records, are excited to imagine and shape a modernized Discogs, and you bring that energy to the work.

Required
  • Bachelor's degree (BA/BS) from a four-year college or university, or equivalent work experience.
  • 4+ years of Product or UX design experience, with a strong portfolio of shipped work (Figma strongly preferred).
  • Hands-on experience contributing to a design system - not just consuming one.

Preferred
  • Experience working in or alongside a machine-readable design system, where Figma tokens and components stay in sync with code.
  • Working knowledge of front-end fundamentals: HTML, CSS, and a sense of how component libraries are structured in modern frameworks.
  • Comfort with GitHub workflows - branches, pull requests, code review.
  • Familiarity with design token tooling (Style Dictionary, Tokens Studio, or similar).
  • Experience designing for e-commerce, inventory systems, cataloging, dashboards, collecting platforms, or music platforms.
  • Familiarity with interaction design and motion.
  • Real passion for music and knowledge of record collecting.

Benefits
What We Provide
  • Competitive compensation: salary, plus performance-related bonus program
  • 401(k) with employer match
  • 100% company-paid medical and dental insurance benefits for you and your dependents
  • 4 weeks paid vacation, increasing based on tenure
  • 18 weeks paid leave for birth moms
  • 8 weeks paid parental leave, including for adoption
  • Monthly wellness allowance
  • Annual professional and personal development allowance
  • Work from home office set-up and expense allowances
  • Flexible work location opportunities
  • Employer matching toward charitable contributions

Apply