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Remote Ai Labeling Jobs in Oregon (NOW HIRING)

Senior Data Analyst

OR · On-site +1

$80/hr

Our private label offerings help drive revenue and increase engagement for our customers while ... As a remote-first company, we're focused on providing opportunities for high performing individuals ...

Account Executive

OR · On-site +1

Our private label offerings help drive revenue and increase engagement for our customers while ... As a remote-first company, we're focused on providing opportunities for high performing individuals ...

Our private label offerings help drive revenue and increase engagement for our customers while ... As a remote-first company, we're focused on providing opportunities for high performing individuals ...

Electrical Designer/Drafter

OR · Remote

$70K - $88K/yr

This role is remote. What You'll Do (Key Responsibilities) * Produce and maintain electrical ... label schedules, and details. * Work from engineer-provided redlines, sketches, and load ...

... AI-native platform. Our customers span all industries, and they count on CrowdStrike to keep their ... Translate our enterprise data classification framework into technical labels and policies and ...

This role is remote. What You'll Do (Key Responsibilities) * Develop and maintain electrical ... Produce labels and coordination reports that will be used in the field. * Review and redline vendor ...

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Remote Ai Labeling information

How much do AI labelers make?

AI labelers typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Many positions are remote and may require skills in data annotation tools and attention to detail.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI research directors, machine learning executives, or senior data scientists, often requiring advanced skills, extensive experience, and leadership responsibilities. These positions may involve overseeing AI development, strategy, and implementation, and often offer compensation packages including salary, bonuses, and stock options. Such roles are rare and usually found in large tech companies or innovative startups with significant AI initiatives.

What is remote AI labeling?

Remote AI labeling is a job where individuals annotate or tag data—such as images, videos, text, or audio—from a remote location, typically their home. This labeled data is used to train artificial intelligence and machine learning models to recognize patterns or make decisions. Tasks may include drawing bounding boxes around objects in photos, transcribing audio, or categorizing content. Remote AI labeling jobs are popular for their flexibility and are essential in industries like autonomous vehicles, healthcare, and e-commerce. No advanced technical skills are usually required, though attention to detail is important.

How can I make 2000 a week working from home?

Remote AI labeling jobs can offer opportunities to earn income, but making $2000 weekly typically requires working multiple hours or taking on high-volume projects. Success depends on experience, efficiency, and the number of tasks completed, often supplemented by other freelance or remote roles. Building skills in data annotation tools and maintaining consistent productivity can help increase earnings.

What job makes $10,000 a month without a degree?

Remote AI labeling jobs can pay up to $10,000 per month for experienced workers, especially those who handle large datasets or work on specialized projects. These roles typically require strong attention to detail, familiarity with AI tools, and consistent productivity, but often do not require formal degrees. Earnings depend on experience, workload, and the complexity of tasks performed.

What are some common challenges faced by remote AI labeling specialists, and how can they be addressed?

Remote AI labeling specialists often encounter challenges such as maintaining focus during repetitive tasks, ensuring high accuracy, and managing tight deadlines. To address these, it's helpful to establish a structured work routine, use productivity tools to minimize distractions, and regularly review the labeling guidelines to avoid errors. Additionally, many companies provide collaborative platforms and regular feedback sessions, which can help clarify expectations and improve overall performance.

What are the key skills and qualifications needed to thrive as a Remote AI Labeling Specialist, and why are they important?

To thrive as a Remote AI Labeling Specialist, you need strong attention to detail, basic computer literacy, and familiarity with data annotation principles, often supported by a high school diploma or equivalent. Experience with labeling platforms, image or text annotation tools, and sometimes knowledge of data privacy standards are typically required. Being reliable, self-motivated, and able to communicate clearly helps you consistently deliver accurate work and meet deadlines. These skills ensure high-quality labeled data, which is crucial for training effective AI models.

What is the difference between Remote Ai Labeling vs Remote Data Annotation?

AspectRemote Ai LabelingRemote Data Annotation
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI development, machine learningData processing, machine learning
Job FocusLabeling data specifically for AI modelsAnnotating various data types for machine learning

Remote Ai Labeling and Remote Data Annotation are closely related roles in the AI industry. Both involve working remotely with data, but Ai Labeling focuses specifically on labeling data to train AI models, while Data Annotation encompasses a broader range of data types and tasks. Understanding these differences helps job seekers find roles that match their skills and career goals.

What cities in Oregon are hiring for Remote Ai Labeling jobs? Cities in Oregon with the most Remote Ai Labeling job openings:
Senior Data Analyst

Senior Data Analyst

Array

OR • On-site, Remote

$80/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago


Job description

Array is a financial innovation platform that helps digital brands, financial institutions, and fintechs get compelling consumer products to market faster. We deliver a suite of credit and identity monitoring tools, privacy protection, and a financial ads marketplace via embeddable widgets or a clean, modern API. Our private label offerings help drive revenue and increase engagement for our customers while empowering millions of consumers to achieve their financial goals.

As a remote-first company, we're focused on providing opportunities for high performing individuals to have deep impact in the fast growing fintech space. A clear mission, a commitment to continuous improvement and a willingness to experiment empower us individually and together deliver the best products for our clients and users.

A Senior Data Analyst at Array will bring foundational knowledge in data analysis and lead our engineering and product teams to solve the biggest problems and challenges that we're facing. You will work with business and technology leaders to understand the holistic business strategy and then design and execute against technical strategies for delivery. This position will likely report to the CEO or Data Lead and focus their work with the product data team.

This role will leverage a 2 day paid interview technical assignment as a part of the hiring process. For candidates that do well during the paid interview, we will consider moving to a 180 day contract or probationary period.

You Will:

  • Trace issues back through data pipelines or code to uncover why something isn't behaving as expected.
  • Write clear, concise Jira tickets explaining what was found, how it was fixed, and how to prevent similar issues.
  • Partner with engineers and product managers to make data and code more reliable, faster, and easier to understand.
  • Help build a culture of technical curiosity - where asking why and testing assumptions is part of every release.
  • Leverage AI tools to think, build, and ship faster.

You Have:

  • A curiosity about how systems, code, and data work; a knack to pull things apart and see what's really happening under the hood.
  • Strong knowledge of SQL, familiarity with Python, and experience digging into JSONs, logs, or API outputs to validate what's flowing through the system.
  • Comfortable reading and reasoning about someone else's code, identifying where things might be slowing down.
  • The ability to turn ambiguous problems into clear next steps - you chase root causes.
  • A mindset that values being less wrong each time - you approach analysis with humility, rigor, and a desire to continuously improve.
  • Analytical skills to develop data-driven insights that help improve user experience and drive conversion rates.
  • A belief that AI is reshaping work, you instinctively use it to accelerate everything you do.

Pay Transparency: $300 a day for the paid interview. $80/hr for the 180 day contract period. 

Expected Interview Process: Recruiter conversation - Paid Interview test (2 days) - Loop: meet the lead data analyst, How We Work Interview. 

Array Offers All Full Time Employees the following Benefits and Perks (benefits start upon conversion to Full Time): 

  • Full medical, dental, and vision, premiums covered at 100% for full-time employees and 70% for dependents
  • Unlimited PTO and sick leave + 14 company holidays to encourage a healthy work-life blend
  • 100% 401k match up to 4% with immediate vesting
  • Generous and competitive parental leave for all parents
  • $1,000 desk setup subsidy to set-up your unique remote office
  • $100/month to subsidize wifi/cell phone expenses
  • Summer Fridays (half-day Fridays) typically from late May to the end of August
  • AnniversArray Kits for work anniversaries
  • Commuter benefits for those who choose to go into our New York City or San Francisco office spaces

Not sure if you meet the Qualifications? We know that folks tend to only apply if they check every box. If you think you have the appropriate qualifications, but don't meet every single one, we encourage you to still apply. We'd love to hear from you.

We are proud to be an equal opportunity workplace; we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Array will provide reasonable accommodations to qualified applicants-if you need an accommodation to participate in the application or interview process, please email talent@array.com to make your request.

Array uses CLEAR to conduct identity verification as part of the application process. We encourage you to review CLEAR's Privacy Notice and Terms of Use to understand how your personal data will be processed.