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Jr Data Analyst Jobs in Remote, OR (NOW HIRING)

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LLM -AI Quality Analyst (Personalization) - English (NO C2C - Only freelancers can apply) YoE: 1 ... Experience in data annotation, AI quality evaluation, content moderation, or a related role is ...

Jr Data Analyst information

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$34.5K

$79.3K

$127.4K

How much do jr data analyst jobs pay per year?

As of Sep 9, 2026, the average yearly pay for jr data analyst in Remote, OR is $79,274.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $81,400.00 per year, depending on experience, location, and employer.

What are some common challenges a Jr Data Analyst faces when transitioning from academic work to a professional environment?

Jr Data Analysts often find that adapting to the pace and expectations of a professional workplace can be challenging compared to academic projects. In a real-world setting, data may be messy or incomplete, requiring analysts to spend significant time on data cleaning and validation. Additionally, Jr Data Analysts may need to quickly learn company-specific tools and balance multiple projects with tight deadlines. Collaborating effectively with cross-functional teams—such as engineering, product, or marketing—also becomes important for delivering actionable insights that support business goals.

What are the key skills and qualifications needed to thrive as a Jr Data Analyst, and why are they important?

To thrive as a Jr Data Analyst, you need a solid understanding of statistics, data analysis, and foundational knowledge in SQL or Excel, typically supported by a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data visualization tools (like Tableau or Power BI) and programming languages such as Python or R is highly beneficial. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies enable accurate data-driven decision-making and ensure clear, actionable reporting within organizations.

What is the difference between Jr Data Analyst vs Data Analyst?

AspectJr Data AnalystData Analyst
Required CredentialsAssociate's degree or related certificationBachelor's degree in data-related field, certifications optional
Work EnvironmentEntry-level, supervised, team-basedMore independent, project-driven
Employer & Industry UsageCommon in tech, finance, healthcare for entry rolesWider application across industries, more advanced roles
Search & Comparison IntentOften searched by beginners or those transitioning into data rolesCompared for career progression or skill enhancement

The main difference between a Jr Data Analyst and a Data Analyst lies in experience and responsibilities. Jr Data Analysts are typically entry-level, requiring fewer credentials, and work under supervision. Data Analysts have more experience, handle complex projects independently, and often hold higher qualifications. Both roles are vital in data-driven industries, but the Jr Data Analyst position serves as a stepping stone toward becoming a full Data Analyst.

How much do junior data analysts get paid?

Junior data analysts typically earn between $50,000 and $70,000 annually, depending on location, industry, and experience. Entry-level roles often require proficiency in tools like Excel, SQL, or Python, and may include benefits such as training and career development opportunities.

How to get a job as a Jr Data Analyst with no experience?

To get a junior data analyst position with no experience, focus on building foundational skills in Excel, SQL, and data visualization tools like Tableau or Power BI through online courses or certifications. Gain practical experience by working on personal projects, volunteering, or completing internships to demonstrate your abilities to employers.

What does a Jr. Data Analyst do?

A Jr. Data Analyst collects, organizes, and analyzes data to help organizations make informed decisions. They often use tools like Excel, SQL, or data visualization software and may assist in preparing reports or dashboards under supervision. This role typically requires strong attention to detail and basic knowledge of data analysis techniques.

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

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

What cities near Remote, OR are hiring for Jr Data Analyst jobs?

Cities near Remote, OR with the most Jr Data Analyst job openings:

Infographic showing various Jr Data Analyst 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 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $79,274 per year, or $38.1 per hour.

AI Quality Analyst (30 USD per hour 1 year experience)- English REMOTE

OR • Remote

$16 - $17/hr

Contractor

Posted 6 days ago

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Job description

Role: LLM -AI Quality Analyst (Personalization) - English (NO C2C - Only freelancers can apply)

YoE: 1 year

Engagement Type: Short Term Contract (4 month)

Start Date: Immediately

Skill: Experience in data annotation, AI quality evaluation, content moderation, or a related role is strongly preferred.

Availability: Full Time Availability(8 Hrs) and 4 hours overlap with the PST time zone for US


About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L

Role Overview:

As an AI Quality Analyst, you will evaluate a new personalization feature for Gemini. You will assess how well the model uses information from your past Gemini conversations, Gmail, Google Search, and YouTube activity to make responses more relevant and helpful. This role requires a unique blend of creativity and analytical rigor. You will actively design prompts from the perspective of your own personal experiences. You will then use your analytical skills to assess the quality of the model's personalized responses, evaluating dimensions like Grounding, Integration, and Helpfulness.

Key Qualifications

  • English Proficiency: Ability to read and write in English with a high degree of comp, as English is the focus language for this project.
  • Personal Account Usage: Willingness to use your primary personal Google account (not a testing account) and enable personal data sources for a genuine assessment.
  • Schedule Flexibility: Full-time availability in your local time zone is required. We are staffing a global, 24-hour operations team.
  • Exceptional Analytical Thinking: Demonstrate ability to evaluate nuanced and ambiguous AI responses, specifically assessing personalization quality.
  • Creative Prompt Engineering: Experience in designing creative, multi-turn starting prompts based on personal context to thoroughly test the model's capabilities.
  • Strong Evaluation Acumen: Understanding of personalization concepts, including the ability to identify incorrect personalization, poor inferences, and forced connections.
  • Meticulous Attention to Detail: The ability to review Side-by-Side (SxS) model responses and spot subtle differences in naturalness and overnarrating.
  • Excellent Written Communication: Superior ability to write clear, concise, and structured rationales for model rankings, explicitly referencing specific turn numbers.
  • Feedback: Ability to provide constructive feedback and detailed annotations.
  • Communication: Excellent communication and collaboration skills.
  • Independence: Self-motivated and able to work independently in a remote setting.
  • Technical Setup: Desktop/Laptop set up with a good internet connection.

Description:

  • In this role, you will be part of a dynamic team focused on evaluating the quality of personalized AI interactions. Your day-to-day work will involve:
  • Designing and executing multi-turn conversational prompts (typically 1-5 turns) that require the AI to utilize your personal information and experiences.
  • Evaluating model responses based on your intent from the starting prompt, checking if the personalization was appropriately applied.
  • Analyzing responses for Grounding issues, ensuring claims about you are supported by evidence and not flawed inferences or hallucinations.
  • Assessing Integration quality to ensure personal data is woven naturally into the response without robotic "overnarrating".
  • Rigorously evaluating and stack-ranking two model responses side-by-side (SxS) to determine which is overall more helpful, easy to use, and enjoyable.
  • Writing clear, defensible rationales for your comparisons, explicitly referencing where issues or positive aspects occurred in the conversation.
  • Extracting and verifying "Debug Info" from the model to confirm that chat summaries and data sources were properly utilized.
  • Maintaining strict data hygiene by deleting evaluation conversations to prevent them from polluting your future chat history.

Education & Experience

  • BS/BA degree or equivalent experience in a relevant field (e.g., Policy, Law, Ethics, Linguistics, Journalism, Computer Science, or a related analytical field).
  • Experience in data annotation, AI quality evaluation, content moderation, or a related role is strongly preferred.

Offer Details:

  • Commitments Required: at least 4 hours per day and minimum 30 hours per week with 4 hours of overlap with PST. (We have 2 options of time commitment: 30 hrs/week or 40 hrs/week)
  • Engagement type: Contractor

Evaluation Process -

  • Shortlisted candidates will be sent a Job Interest Form.
  • After the profile review, an assessment will be shared, which must be completed within 24 hours.
  • Based on the assessment outcomes, shortlisted candidates will be contacted to discuss the pre‐onboarding requirements.