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Data Rater Jobs in Remote, OR (NOW HIRING)

Prointegrate LLC

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Azure Platform/Data Engineer (100 USD per hour) remote No C2C

OR · On-site

$100/hr

... LATAM Rate $100/hr (US) · $70/hr (LATAM) Commitment Min. 4 hrs/day, 20 hrs/week, with 4 hrs ... Practical data privacy / PII and secret scrubbing experience (regex, entropy, redaction ...

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Prointegrate LLC

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Business Analyst - Educational Rater - Gemini AI (Remote)

OR · Remote

$15 - $17/hr

Business Analyst - US - Educational Rater - Gemini Employment Type: Contractor Assignment ... Ability to interpret data and apply basic arithmetic to identify trends and relationships

Wesley Medical Center

SLP - School

Roseburg, OR · On-site

$2.3K/wk

Message and data rates may apply. Carriers are not liable for delayed or undelivered message. You can reply STOP to cancel and HELP for help. Client Details Address 1409 NE Diamond Lake Blvd. City ...

Prime HealthCare Staffing

Travel PT - Inpatient

Gold Beach, OR · On-site

$1.9K - $2.3K/wk

Message and data rates may apply. Carriers are not liable for delayed or undelivered message. You can reply STOP to cancel and HELP for help. Prime HealthCare Staffing Job ID #38000605. Pay package ...

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Syniti

Lead, Commercial Finance

OR · Remote

Syniti's Data First strategy transforms data from an afterthought into a strategic asset-unlocking ... Collaborate with central finance teams on developing pre-set methodologies of rate card pricing and ...

Syniti

Lead, Commercial Finance

OR · On-site +1

Syniti's Data First strategy transforms data from an afterthought into a strategic asset-unlocking ... Collaborate with central finance teams on developing pre-set methodologies of rate card pricing and ...

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Data Rater information

What is a data rater?

Data Raters are professionals who evaluate and provide feedback on data, such as search engine results, advertisements, and social media content, to help improve the accuracy and relevance of algorithms. They often work with large tech companies to assess whether content meets specific quality guidelines and user intent. Data Raters typically work remotely on a part-time or flexible schedule, and their work is crucial in training artificial intelligence systems to better understand human preferences.

What are the key skills and qualifications needed to thrive as a data rater, and why are they important?

To thrive as a Data Rater, you need strong analytical abilities, attention to detail, and proficiency in following detailed guidelines, often requiring at least a high school diploma or equivalent. Familiarity with web-based evaluation tools, spreadsheets, and sometimes proprietary rating platforms is typically expected. Excellent time management, critical thinking, and effective written communication are valuable soft skills for excelling in this role. These skills ensure accurate and consistent data evaluation, which directly impacts the quality and effectiveness of machine learning models and search algorithms.

What are some common challenges data raters face, and how can they effectively manage them?

Data Raters often encounter challenges such as maintaining consistency in their evaluations, understanding complex guidelines, and managing repetitive tasks. To effectively handle these, it's important to regularly review guideline updates, seek clarification from team leads when unsure, and use productivity techniques to stay focused during long periods of rating. Collaborating with peers through forums or team meetings can also help share best practices and resolve ambiguities.

What is the difference between Data Rater vs Data Annotator?

AspectData RaterData Annotator
Required CredentialsHigh school diploma or equivalent; some roles may require basic technical skillsHigh school diploma; some roles may prefer familiarity with annotation tools
Work EnvironmentRemote or office-based; often involves reviewing data for qualityRemote or office-based; involves labeling or tagging data for machine learning
Employer & Industry UsageTech companies, data services, AI firmsAI and machine learning companies, data labeling services

Data Raters primarily review and assess data quality, ensuring accuracy and consistency, while Data Annotators focus on labeling data to train machine learning models. Both roles are essential in AI development, often sharing similar skills and work environments, but differ in their specific tasks and objectives.

What job categories do people searching Data Rater jobs in Remote, OR look for?

The top searched job categories for Data Rater jobs in Remote, OR are:

Data Rater jobs near you
Infographic showing various Data Rater job openings in Remote, OR as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Azure Platform/Data Engineer (100 USD per hour) remote No C2C

Prointegrate LLC

OR • On-site

$100/hr

Contractor

Posted yesterday

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Job description

Sr. Software / Platform / Data Engineer


Please note applicants should be only from below US locations:


Alabama, Arizona, Colorado, Florida, Idaho, Iowa, Kentucky, Michigan, Minnesota, Mississippi, Missouri, Montana, New York, North Carolina, North Dakota, Oklahoma, Pennsylvania, South Carolina, South Dakota, Texas, Virginia, Wisconsin, Wyoming


Turing — Contract (Freelance)

At a Glance

Role

Sr. Software / Platform / Data Engineer

Type

Contract (contractor assignment — no medical / paid leave)

Duration

3 months (short-term)

Openings

15

Start date

Immediate — expected start next week

Location

Remote — USA (approved regions) or LATAM

Rate

$100/hr (US) · $70/hr (LATAM)

Commitment

Min. 4 hrs/day, 20 hrs/week, with 4 hrs overlap with PST

Vetting

One 30-min interview (technical + cultural)

About Turing


Turing is one of the world's leading AGI infrastructure companies, working with frontier AI labs to accelerate model development through high-quality training data, evaluations, and engineering talent.


About the Role


Build the technical implementation of a system that captures GitHub Copilot CLI agent traces across developer machines, scrubs sensitive content centrally in Azure, and serves a sanitized, queryable dataset for review. You'll own the pipeline end-to-end — from the endpoint capture script through Azure ingestion, scrub, and viewer.


You're a fit if you can take a written design and ship the working pipeline mostly on your own, and you treat privacy as a hard requirement, not an afterthought.


Day-to-Day


  • Stand up the OpenTelemetry capture path: endpoint env-var / .bashrc setup, OTLP export, and a collector pipeline (receivers → processors → exporters).
  • Build the central ingestion + privacy scrub block in Azure (secret and PII detection/redaction) before any data reaches a reviewer.
  • Wire up the sanitized stores and a read-only trace viewer, with task ↔ session ↔ trace correlation.

Required Skills


  • Bachelor's degree in Computer Science, Engineering, or a related field — or equivalent practical experience.
  • 5+ years in software / platform / data engineering, shipping production systems.
  • 3+ years hands-on with Azure (or a comparable major cloud with clear transfer to Azure PaaS), including 2+ years building observability or telemetry pipelines with direct OpenTelemetry experience — OTLP, collectors, spans/traces, semantic conventions.
  • Azure PaaS: Container Apps / AKS, API Management, ADX/Kusto or App Insights, ADLS Gen2 / Blob, Key Vault, Entra ID.
  • Solid Python or Node.js, plus Bash scripting.
  • Practical data privacy / PII and secret scrubbing experience (regex, entropy, redaction/tokenization).
  • Data-pipeline and cloud-security fundamentals (RBAC, private networking, audit).

Nice to Have

  • Grafana / telemetry-backend setup
  • LLM-agent or GenAI observability exposure
  • Cross-cloud identity federation (AAD ⇄ GCP IAM)

Perks of Freelancing with Turing

  • Fully remote environment
  • Work on cutting-edge AI projects with leading LLM companies

Application Requirement

A LinkedIn profile link is mandatory for review — please ensure it appears on your resume, along with your GitHub.


Only from these locations: