ZipRecruiter

Log In

1

Temporary Ai Data Collection Jobs in Portland, OR

Hp

Big Data Laser Analyst

Vancouver, WA

... data collection methodology, and platform differences to ensure consistent interpretation across ... AI-assisted development) while maintaining reproducibility and reviewable outputs Dashboarding ...

Varsity Tutors

Data Analysis Tutor

Portland, OR · Remote

$18 - $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 ...

Pwc

ERP AI Engineer - Manager

Portland, OR

$99K - $232K/yr

You will be responsible for tasks such as data collection, data cleansing, data transformation ... This role offers the chance to shape AI solution architecture while driving innovation and ...

Analog Devices

Senior Analyst, Manufacturing IT

Camas, WA · On-site

$95K - $131K/yr

ADI combines analog, digital, AI, and software technologies into solutions that combat climate ... data collection, and material-tracking applications. * Implement and maintain equipment integration ...

Analogdevices

Senior Analyst, Manufacturing IT

Camas, WA

$95K - $131K/yr

ADI combines analog, digital, AI, and software technologies into solutions that combat climate ... data collection, and material-tracking applications. * Implement and maintain equipment integration ...

next page

Showing results 1-20

All JobsAi Data Collection JobsTemporary Ai Data Collection JobsTemporary Ai Data Collection Jobs in Portland, OR

Temporary Ai Data Collection information

See Portland, OR salary details

$17

$26

$33

How much do temporary ai data collection jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for temporary ai data collection in Portland, OR is $26.84, according to ZipRecruiter salary data. Most workers in this role earn between $24.71 and $27.55 per hour, depending on experience, location, and employer.

What is temporary AI data collection?

Temporary AI data collection is a short-term job where individuals gather, label, or organize data used to train artificial intelligence systems. This can involve tasks such as taking photos, recording audio, transcribing text, or annotating images and videos according to specific guidelines. The work is often project-based and helps improve the accuracy and performance of AI models. People in these roles play a vital part in ensuring that AI systems learn from diverse, well-organized, and correctly labeled data.

What does a typical day look like for someone in a temporary AI data collection role?

In a Temporary AI Data Collection position, your daily tasks often involve gathering, labeling, and organizing large sets of data—such as images, text, or audio—that will be used to train machine learning models. You may work independently or as part of a team, following specific guidelines to ensure data accuracy and consistency. Attention to detail is crucial, as even small errors can impact the quality of AI systems. Collaboration with project managers or data scientists is common, especially when clarifying data requirements or resolving ambiguities. The work environment is typically fast-paced, with clear deadlines and performance metrics to meet.

What are the key skills and qualifications needed to thrive as a temporary AI data collection specialist, and why are they important?

To thrive as a Temporary AI Data Collection Specialist, you need attention to detail, basic data entry skills, and the ability to follow structured guidelines, often with a high school diploma or equivalent. Familiarity with data annotation platforms, spreadsheets, and cloud-based collaboration tools is typically required. Reliability, adaptability, and strong communication skills help ensure accurate data collection and effective teamwork. These skills are important for producing high-quality datasets that improve AI models and support project goals.

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

AspectTemporary Ai Data CollectionData Annotator
CredentialsBasic computer skills, sometimes familiarity with data collection toolsAttention to detail, basic technical skills, sometimes training in annotation tools
Work EnvironmentRemote or on-site, often flexible hoursRemote or on-site, focused on labeling data
Industry UsageUsed in AI training data gathering, machine learning projectsUsed in preparing datasets for AI models, image/video/text annotation

Temporary Ai Data Collection involves gathering raw data for AI training, often requiring data sourcing skills. Data Annotator focuses on labeling and annotating data to make it usable for machine learning. Both roles are essential in AI development but differ in their specific tasks and skill requirements.

What are the most commonly searched types of Ai Data Collection jobs in Portland, OR?

The most popular types of Ai Data Collection jobs in Portland, OR are:

What are popular job titles related to Temporary Ai Data Collection jobs in Portland, OR?

For Temporary Ai Data Collection jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Temporary Ai Data Collection jobs in Portland, OR look for?

The top searched job categories for Temporary Ai Data Collection jobs in Portland, OR are:

What cities near Portland, OR are hiring for Temporary Ai Data Collection jobs?

Cities near Portland, OR with the most Temporary Ai Data Collection job openings:

Temporary Ai Data Collection jobs near you
Infographic showing various Temporary Ai Data Collection job openings in Portland, OR as of August 2026, with employment types broken down into 46% Full Time, 8% Part Time, 15% Temporary, and 31% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $55,825 per year, or $26.8 per hour.

Research Project Manager (Temporary Position)

UNAVAILABLE

Portland, OR • On-site

$85 - $115/hr

Other

Posted yesterday

New

Job description

Function/Duties of Position

The primary purpose of the Lab/Consortium Manager (temporary) is to provide oversight of the Lab and its staff members, working jointly with the PI on research projects as assigned, with a focus on women’s health and cancer. This individual will coordinate multiple simultaneous research collaborations within a large consortium, completing tasks in a timely manner while managing competing priorities across multiple transdisciplinary research projects. Drawing on an understanding of basic epidemiologic principles of study design, data collection, and quality control, as well as working knowledge of statistical analyses of epidemiologic data, this person will contribute to the design of research studies, procedures, and day-to-day operations supporting research goals and grant commitments, including ensuring regulatory compliance. With expert knowledge of research practices, this person will direct and teach others in methodology/Standard Operating Procedures.

This role requires excellent written and verbal communication, analytical, and organizational skills, as well as the ability to work both independently and collaboratively with internal and external research partners. Strong interpersonal skills, whether by phone, email, or in person, and the ability to use tact and diplomacy to maintain effective working relationships are essential, as is skill in meeting facilitation and agenda management. The Lab/Consortium Manager also will have the opportunity to contribute scientifically to ongoing projects by helping to write proposals and manuscripts and aid in data analysis.

Required Qualifications
  • Master's in relevant field AND 3 year of relevant experience OR Equivalent combination of Bachelor's in relevant field in conjunction with training and experience may be considered. May require specific experience in a particular area of research
  • Ability to coordinate multiple projects simultaneously and complete tasks in a timely manner
  • Understanding of basic epidemiologic principles of study design, data collection, and quality control
  • Working knowledge of statistical analyses of epidemiologic data
  • Excellent communication, analytical, and organizational skills: both written and verbal
  • Ability to work independently and collaboratively with internal and external research partners
  • Excellent interpersonal interaction skills both on the phone, by email, and in person
  • Ability to use tact and diplomacy to maintain effective working relationships
  • Skills in meeting facilitation and agenda management
Preferred Qualifications
  • Experience in Epidemiology, Psychology, Sociology, Public Health, Data Science, or other related fields
  • Experience with databases containing epidemiologic data
  • Intermediate skills with Microsoft Office (Excel, Outlook, Access, Word, and PowerPoint) on Windows OS. Ability to accurately type 60wpm
  • Working knowledge of SAS and/or R
  • Understanding of IRB processes and human subjects research regulations (e.g., HIPAA, informed consent)
  • Exposure to data sharing agreement requirements
Equal Opportunity Statement

OHSU welcomes people of all ages, ethnicities, genders, national origins, religions, and sexual orientations. We are striving to build an anti-racist, multicultural institution and encourage people with diverse backgrounds to apply. To request reasonable accommodation, contact askhr@ohsu.edu.

#J-18808-Ljbffr

Apply