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Data Analyst

  • Data Analyst job type Posted on: Oct 23, 2026
  • Data Analyst experience level Swoon
  • Data Analyst employment type Greater Seattle Area, Washington
  • Data Analyst salary Salary: $34 per hour
  • Data Analyst employment type Onsite
  • Data Analyst salary Full-time

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Job Title :

Data Analyst

Job Type :

Full-Time

Job Location :

Greater Seattle Area Washington United States

Remote :

No

Jobcon Logo Job Description :

Hiring: Data Analyst – AI / Machine LearningLocation: Seattle, WAHybrid: 4 days onsite per weekPay: $34/hr W2Contract: 10/12/2026 – 12/31/2026We’re hiring a Data Analyst to support a Machine Learning Science team working on conversational AI products used for search, recommendations, shopping, planning, and customer assistance.This role is focused on evaluating AI-generated responses, annotating and classifying data against defined guidelines, identifying quality issues and trends, and turning findings into actionable insights for the ML team.Responsibilities:Evaluate AI-generated responses against defined guidelines and quality metricsPerform data annotation, labeling, and classificationConduct quality reviews and identify inconsistencies or recurring issuesAnalyze large, complex, and sometimes ambiguous datasetsIdentify patterns and trends within evaluation resultsUse Python and Jupyter Notebook for data analysisDocument findings and clearly communicate insights to technical teamsQualifications:2+ years of relevant data analysis, annotation, quality evaluation, or similar experience preferredHands-on experience with data annotation, labeling, or classificationExperience performing quality checks or evaluations against established guidelinesPython and Jupyter Notebook experienceStrong analytical and problem-solving skillsExcel or Google Sheets experienceStrong attention to detail and written communication skillsBasic SQL is a plusExperience or interest in AI, machine learning, conversational AI, or LLM evaluation is highly preferredThis is a great opportunity for someone interested in combining data analysis with hands-on AI and machine learning evaluation.Apply or message me directly if interested.

Jobcon Logo Position Details

Posted:

Oct 23, 2026

Reference Number:

10440_4472590413

Employment:

Full-time

Salary:

$34 per hour

City:

Greater Seattle Area

Job Origin:

APPCAST_CPC

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Hiring: Data Analyst – AI / Machine LearningLocation: Seattle, WAHybrid: 4 days onsite per weekPay: $34/hr W2Contract: 10/12/2026 – 12/31/2026We’re hiring a Data Analyst to support a Machine Learning Science team working on conversational AI products used for search, recommendations, shopping, planning, and customer assistance.This role is focused on evaluating AI-generated responses, annotating and classifying data against defined guidelines, identifying quality issues and trends, and turning findings into actionable insights for the ML team.Responsibilities:Evaluate AI-generated responses against defined guidelines and quality metricsPerform data annotation, labeling, and classificationConduct quality reviews and identify inconsistencies or recurring issuesAnalyze large, complex, and sometimes ambiguous datasetsIdentify patterns and trends within evaluation resultsUse Python and Jupyter Notebook for data analysisDocument findings and clearly communicate insights to technical teamsQualifications:2+ years of relevant data analysis, annotation, quality evaluation, or similar experience preferredHands-on experience with data annotation, labeling, or classificationExperience performing quality checks or evaluations against established guidelinesPython and Jupyter Notebook experienceStrong analytical and problem-solving skillsExcel or Google Sheets experienceStrong attention to detail and written communication skillsBasic SQL is a plusExperience or interest in AI, machine learning, conversational AI, or LLM evaluation is highly preferredThis is a great opportunity for someone interested in combining data analysis with hands-on AI and machine learning evaluation.Apply or message me directly if interested.

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