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Remote Ai Data Collection Jobs in Oregon (NOW HIRING)

Data Engineer (L5)

OR · On-site +1

$380K - $610K/yr

All of this data collection and curation is made possible thanks to the amazing Data Engineers of ... remote in the US with occasional visits to Los Gatos) depending on the team your skills are most ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of data collection methods, data cleaning, descriptive statistics, data ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of data collection methods, data cleaning, descriptive statistics, data ...

Data Analysis Tutor

OR · Remote

$40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of data collection methods, data cleaning, descriptive statistics, data ...

Senior Prompt Designer II

OR · On-site +1

$101K - $108K/yr

Familiarity with fine-tuning, RLHF, or preference data collection workflows * Experience with ... SELECT ONE: #LI-Remote

On-site data collection for model training and validation * R&D visits to one of our in-person ... Experience using AI-assisted development tools thoughtfully to improve productivity, quality, and ...

Showing results 21-40

Remote Ai Data Collection information

What is remote AI data collection?

Remote AI data collection refers to the process of gathering and labeling data—such as images, audio, text, or video—from various sources using digital tools, often from a remote location. This data is used to train and improve artificial intelligence and machine learning models. People working in this field can perform tasks like annotating images, transcribing audio, or categorizing text, all from their home or another remote setting. The work is essential for creating accurate AI systems and often offers flexible hours. It usually requires basic computer skills and attention to detail.

What skills and qualifications are needed for a remote AI data collection specialist?

To thrive as a Remote AI Data Collection Specialist, you need attention to detail, data management skills, and a basic understanding of machine learning concepts, often supported by a degree in computer science or related fields. Familiarity with data annotation tools, spreadsheets, and platforms like Labelbox or Amazon SageMaker is commonly required. Strong communication, time management, and problem-solving skills are important for collaborating remotely and meeting project deadlines. These abilities ensure accurate, efficient data gathering and annotation, which are critical for the quality and reliability of AI model development.

What are common challenges in a remote AI data collection role, and how can they be managed?

A common challenge in Remote AI Data Collection roles is ensuring data quality and consistency, especially when working independently without direct supervision. It is important to follow detailed guidelines precisely and communicate proactively with project managers or team leads whenever uncertainties arise. Time management and maintaining motivation can also be challenging when working remotely, so setting a structured schedule and leveraging collaboration tools can help. Regular check-ins with the team and staying updated with project requirements are key to overcoming these challenges and delivering reliable results.

What is the difference between Remote Ai Data Collection vs Remote Data Annotator?

AspectRemote Ai Data CollectionRemote Data Annotator
Required CredentialsBasic computer skills, training in data collection toolsAttention to detail, familiarity with annotation software
Work EnvironmentRemote, flexible hours, often on mobile or desktopRemote, flexible hours, often on desktop or specialized platforms
Industry UsageAI training data gathering across various sectorsLabeling and annotating data for machine learning models
Common Search IntentJobs involving data collection for AIJobs focused on data labeling and annotation

Remote Ai Data Collection involves gathering raw data for AI training, often requiring basic technical skills. Remote Data Annotator focuses on labeling and annotating data to improve machine learning models. Both roles are remote, but they differ in tasks and skill requirements, serving different stages of AI data preparation.

What are the most commonly searched types of Ai Data Collection jobs in Oregon?

The most popular types of Ai Data Collection jobs in Oregon are:

What are popular job titles related to Remote Ai Data Collection jobs in Oregon?

For Remote Ai Data Collection jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Remote Ai Data Collection jobs in Oregon look for?

The top searched job categories for Remote Ai Data Collection jobs in Oregon are:

What cities in Oregon are hiring for Remote Ai Data Collection jobs?

Cities in Oregon with the most Remote Ai Data Collection job openings:

Infographic showing various Remote Ai Data Collection job openings in Oregon as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution.

Data Engineer (L5)

OR • On-site, Remote

Netflix
Arts, Entertainment, and Recreation • 5 - 10K employees

$380K - $610K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 8 days ago


Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz


Job description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology.

Come be a part of what's next. We are revolutionizing how shows and movies are produced, pushing technological boundaries to efficiently deliver streaming video at a massive scale over the internet, and continuously improving the end-to-end user experience with Netflix across their member journey. We pride ourselves on using data to inform our decision-making as we work towards our mission.

This requires curating data across various domains such as Growth, Finance, Product, Content, and Studio. All of this data collection and curation is made possible thanks to the amazing Data Engineers of Netflix who bring this data to life. Data Engineering at Netflix is a role that requires building systems to process data efficiently and modeling the data to power analytics.

These solutions can range from batch data pipelines that bring to life business metrics to real-time processing services that integrate with our core product features. In addition, we require our Data Engineers to have a rich understanding of large distributed systems on which our data solutions rely. Candidates should have knowledge across several of these skill sets and usually need to be deep in at least one.

As a Data Engineer, you also need to have strong communication skills since you will need to collaborate with business, engineering, and data science teams to enable a culture of learning. Learn more about the work of data engineers at Netflix. Location of work: We are considering candidates who are willing to relocate to Los Gatos, California, as well as fully-remote candidates (remote in the US with occasional visits to Los Gatos) depending on the team your skills are most aligned with.

Who are you. You strive to write elegant code, and you're comfortable with picking up new technologies independently You are proficient in at least one major programming language (e.g. Java, Scala, Python) and comfortable working with SQL You enjoy helping teams push the boundaries of analytical insights, creating new product features using data, and powering machine-learning models You have a strong background in at least one of the following: distributed data processing or software engineering of data services, or data modeling You are familiar with big data technologies like Spark or Flink and comfortable working with web-scale datasets You have an eye for detail, good data intuition, and a passion for data quality You appreciate the importance of great documentation and data debugging skills You relate to and embody many of the aspects of the Netflix Culture

You love working independently while also collaborating and giving/receiving candid feedback You are comfortable working in a rapidly changing environment with ambiguous requirements. You are nimble and take intelligent risks Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options.

To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $380,000.00 - $610,000.00. This compensation range will vary based on location

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off.

Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here. Netflix is a unique culture and environment.

Learn more here. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.


What Netflix employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997