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Flexible Data Annotation Analyst Jobs in Portland, OR

AZAD Technology Partners

Data Scientist

Vancouver, WA · Hybrid

$65 - $70/hr

This assignment will analyze, process and model data and interpret the results to develop data ... AZAD is looking for bright, talented, flexible, and customer centric problem solvers who enjoy the ...

AZAD Technology Partners

Data Scientist

Vancouver, WA · On-site

$90 - $96/hr

This assignment will analyze, process and model data and interpret the results to develop data ... AZAD is looking for bright, talented, flexible, and customer centric problem solvers who enjoy the ...

Azad, Inc

Data Scientist

Vancouver, WA · On-site

$65 - $70/hr

This assignment will analyze, process and model data and interpret the results to develop data ... AZAD is looking for bright, talented, flexible, and customer centric problem solvers who enjoy the ...

Columbia

Principal Data Scientist

Portland, OR · On-site

The Principal Data Scientist is a member of the Data & Analytics (D&A) team and will support the ... Extremely organized, detail-oriented, resourceful and flexible * Strong interpersonal, written ...

nLIGHT

Temporary Data Engineer

Vancouver, WA · On-site

$45 - $58/hr

This role will focus on integrating and analyzing data from multiple systems to identify trends ... Flexible Spending and Health Savings Accounts * Pet Insurance nLIGHT is subject to US Export ...

Initio Capital

SaaS Product Analyst

Portland, OR · Remote

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

nLIGHT

Temporary Data Engineer

Vancouver, WA

$45 - $58/hr

This role will focus on integrating and analyzing data from multiple systems to identify trends ... Flexible Spending and Health Savings Accounts * Pet Insurance nLIGHT is subject to US Export ...

nLIGHT

Temporary Data Engineer

Vancouver, WA

$45 - $58/hr

This role will focus on integrating and analyzing data from multiple systems to identify trends ... Flexible Spending and Health Savings Accounts * Pet Insurance nLIGHT is subject to US Export ...

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All JobsData Annotation Analyst JobsFlexible Data Annotation Analyst JobsFlexible Data Annotation Analyst Jobs in Portland, OR

Flexible Data Annotation Analyst information

See Portland, OR salary details

$36.1K

$87.6K

$144.2K

How much do flexible data annotation analyst jobs pay per year?

As of Aug 27, 2026, the average yearly pay for flexible data annotation analyst in Portland, OR is $87,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,300.00 and $102,900.00 per year, depending on experience, location, and employer.

What is a flexible data annotation analyst?

A Flexible Data Annotation Analyst is a professional responsible for labeling, categorizing, and tagging data—such as text, images, audio, or video—to prepare it for use in machine learning and artificial intelligence projects. The 'flexible' aspect typically means the role allows for remote work, adjustable hours, or project-based assignments. Analysts use specific tools and follow detailed guidelines to ensure data quality and consistency. This role is crucial for training accurate AI models, as well-annotated data helps improve the performance of automated systems.

What are the key skills and qualifications needed to thrive as a flexible data annotation analyst?

To thrive as a Flexible Data Annotation Analyst, you need keen attention to detail, analytical thinking, and a basic understanding of data labeling processes, often supported by a high school diploma or relevant experience. Familiarity with annotation tools such as Labelbox, Prodigy, or similar platforms, as well as basic proficiency in spreadsheet software, is typically required. Strong time management, adaptability, and clear communication skills help you deliver accurate results and work effectively with remote teams. These abilities ensure high-quality, consistent data labeling that is critical for training reliable machine learning models.

How does a flexible data annotation analyst typically collaborate with other teams to ensure data quality?

As a Flexible Data Annotation Analyst, you will frequently interact with data scientists, machine learning engineers, and project managers to clarify annotation guidelines and resolve ambiguities in the data. Collaboration often involves participating in virtual meetings, providing feedback on annotation tools, and reporting inconsistencies or uncertainties encountered during the labeling process. This teamwork ensures that annotated datasets meet project standards and contribute to high-quality machine learning outcomes. Regular communication and openness to feedback are key to success in this collaborative environment.

Can I work as a flexible data annotation analyst with no experience?

Flexible data annotation analyst roles often do not require prior experience, as training is typically provided to teach the necessary skills and tools. Basic computer literacy and attention to detail are usually sufficient to start, making it accessible for beginners interested in data labeling tasks.

Do data annotation jobs offer flexible hours?

Data annotation jobs often offer flexible hours, allowing workers to choose when they complete tasks, especially in freelance or remote roles. However, some positions may have deadlines or specific schedules depending on the employer or project requirements.

Does data annotation actually pay well?

Data annotation analysts typically earn hourly wages that are close to minimum wage or slightly above, depending on the platform and complexity of tasks. Pay rates can vary based on experience, skill level, and the employer, but generally, it is not considered a high-paying role. Many positions are freelance or part-time, which can impact overall earnings.

Is it hard to get hired for a flexible data annotation analyst?

Getting hired as a flexible data annotation analyst generally depends on having basic computer skills, attention to detail, and familiarity with annotation tools. Many positions are entry-level and may not require extensive experience, making the role accessible to a wide range of candidates. However, competition can vary based on the employer and location, and some roles may prefer candidates with prior experience or specific technical knowledge.

What are the most commonly searched types of Data Annotation Analyst jobs in Portland, OR?

The most popular types of Data Annotation Analyst jobs in Portland, OR are:

What are popular job titles related to Flexible Data Annotation Analyst jobs in Portland, OR?

For Flexible Data Annotation Analyst jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Flexible Data Annotation Analyst jobs in Portland, OR look for?

The top searched job categories for Flexible Data Annotation Analyst jobs in Portland, OR are:

Flexible Data Annotation Analyst jobs near you

Data Scientist

Vancouver, WA • Hybrid

AZAD Technology Partners
51 - 200 employees
Learn more about AZAD Technology Partnersexternal

$65 - $70/hr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 24 days ago

Job description

Join AZAD Technology Partners as a Data Scientist and work within the facility's Transmission Infrastructure Asset Management organization on the Strategy and Planning team. This assignment will provide support for projects under the program by providing analytical expertise for planning, development, integration, and implementation of asset management technologies, methods, and standards for interim and long-term solutions to manage risk and spend efficiency on the facility's transmission system.  This assignment will analyze, process and model data and interpret the results to develop data-driven solutions.

This is a 2 year plus consultant position with high probability of long term and ongoing continued employment. This position is hybrid based in Vancouver, WA with onsite 3 days per week (Tuesday, Wednesday and Thursday). The hourly pay rate for this position is between $65.00 and $70.00 depending on related qualifications and experience, as well as composition of selected compensation package.  

The ideal candidate must possess the minimum qualifications:

A Bachelor's or Master's degree in advanced mathematics, computer science, machine learning, or statistical methods is required:
With a Master's degree, 7 years' of hands-on experience performing the following is required
With a Bachelor's degree, 9 years' of experience is required:
Manipulating data sets, querying databases, and building statistical models
Statistical or data mining techniques
Using Web Services
Analyzing data from 3rd party users
Developing data models and algorithms
Creating and using advanced machine learning algorithms and statistics
Knowledge and understanding of financial analysis/budgeting, risk analysis, probability and statistics, and electric utility operations
With a Bachelor's degree, at least 10 graduate credits in computer science algorithms, statistics, software design, or data management OR one of the following Data Science Certifications or similar are also required:
Certified Analytics Professional (CAP)
Data Science Council of America (DASCA) Senior Data Scientist (SDS)
Data Science Council of America (DASCA) Principle Data Scientist (PDS)
Dell EMC Data Science Track
Google Certified Professional Data Engineer
Google Advanced Data Analytics Certificate for Machine Learning
IBM Data Science Professional Certificate
Mathematics experience including multivariate calculus, linear algebra, differential equations, and real analysis:
Probability and Statistics: including stochastic processes, classical inference techniques, maximum likelihood estimation, Bayesian methods, Monte Carlo, and bootstrapping.
Computer Science: design and analysis of algorithms and data structures, computational complexity, search methods.
Supervised Learning (e.g., regression techniques, regularization techniques, ridge regression, ensemble methods, optimization through linear programming and convex optimization, nonlinear programming).
Unsupervised Learning (e.g., clustering techniques, hierarchical clustering, dimensionality reduction, principal component analysis).
Time Series Analysis.
Demonstrated knowledge of computer languages including, but not limited to Python, Java, SQL, and R. Demonstrated knowledge of distributed or parallel processing techniques used in the analysis and processing of large data sets.   
Skill in discerning the strengths and weaknesses of various best-practice quantitative solutions for a given real-world problem and skill in developing new quantitative approaches to cater to particular features as needed when standard assumptions are inappropriate.
Using considerable judgment, proven ability to take vague or broadly defined goals or business objectives and translate them to questions that can be answered or problems that can be addressed via data driven analysis.  
Demonstrated ability to communicate and present proposals, findings, and recommendations, both written and orally, to senior staff, management and executives and to external parties (e.g., representing BPA regionally such as to key stakeholders, customers, industry organizations, or regulators).
Valid U.S. Driver's License or RealID is required.

Preferred Skills:

Knowledge of GIS and Asset Management Systems. 
Experience with R software product(s).
Energy/utility industry experience.
Experience with Power BI (Microsoft Business Intelligence).



AZAD is looking for bright, talented, flexible, and customer centric problem solvers who enjoy the challenges associated with solving the most complex problems by utilizing the most sophisticated technologies and strong people skills.

Founded and managed by technologists and engineers, AZAD is a leading provider of Consulting Services to Fortune 500 and innovative firms since 1992.
 
AZAD's model provides a unique employment experience that is career path focused, relationship based and dedicated to advocacy and retention with an average tenure of 9 years.
 
Our collaborative approach to support our clients, projects and supporting our employees' career paths are the keys to our success.  Join AZAD's professional team and enhance your career by being engaged with some of the most interesting projects in the Pacific Northwest.
 
If you enjoy working in such an environment, we encourage you to apply.
 
EXCELLENT EMPLOYEE BENEFITS including Co-paid Medical, Dental and Vision Insurance, Cafeteria Plan, Paid Sick Leave, 401K Plan, Credit Union Membership, and Referral Bonus.
 
U.S. Citizens only for Federal Clearance Requirement.

AZAD values diversity - in backgrounds and in experiences.
Since our inception, we have witnessed how our diverse workforce has thrived while contributing to the increases in innovation and advancements in the client organizations we serve.
AZAD is committed to Diversity, Equity & Inclusion and is striving to build an even more diverse, inclusive team that reflects the people and communities where we live and work.
AZAD, Inc. is an equal opportunity employer that considers and employs qualified individuals based upon job related qualifications regardless of race, color, sex, religion, creed, physical or mental disability, veteran's status, sexual orientation, national origin, age or any other status protected under applicable local, state or federal law. AZAD takes affirmative action to employ and advance in employment qualified employees and applicants who are disabled, disabled veterans, recently separated veterans, Armed Forces services medal veterans, and other protected veterans.
AZAD, Inc. is a Certified Minority Owned Business and OFCCP compliant.