Data Analyst

Posted 3 Days Ago
Hiring Remotely in United States
Remote
Junior
Artificial Intelligence • Big Data • Machine Learning • Software
The Role
Analyze contributor performance, dataset quality, production efficiency, and client delivery metrics. Build dashboards and reports, conduct cohort and trend analysis, monitor quality benchmarks, identify data integrity issues, and translate findings into actionable recommendations. Collaborate with Data Operations, Engineering, Product, and Quality Assurance teams to define metrics and evaluate improvements.
Summary Generated by Built In

About the Job

The Opportunity

As a Data Analyst at Emetlab, you will turn data into decisions that shape the infrastructure behind elite AI training data. Emetlab is an AI data infrastructure company delivering expert-produced, rigorously validated datasets and end-to-end AI solutions to frontier laboratories, Fortune 500 enterprises, ambitious startups, and sovereign AI programmes across the globe.

In this role, you will uncover insights that drive operations, quality, and business strategy. You will analyse contributor performance, dataset quality metrics, production pipeline efficiency, and client delivery outcomes to help the team understand what is working, what is not, and where the greatest opportunities lie. Your work will directly inform how we maintain our 98%+ accuracy benchmark, how we scale our global contributor network, and how we deliver measurable results to clients.

This is an opportunity to be the analytical backbone of a company whose entire value proposition is data excellence, where your insights will carry weight, influence direction, and ensure the quality standard that our clients depend on.

What You'll Do

Analyse contributor performance, production throughput, and quality assurance metrics to surface actionable insights that inform operations and growth decisions. Design and maintain dashboards, reports, and data visualisations that give leadership and cross-functional teams clarity on key metrics across datasets, contributors, and client delivery. Partner with Data Operations, Engineering, and Product teams to define success metrics, measure outcomes, and evaluate the impact of process improvements and platform changes. Conduct cohort analysis, segmentation, and trend analysis across our contributor network to identify opportunities for improving output quality, efficiency, and retention. Monitor and report on dataset quality benchmarks, identifying patterns in annotation accuracy, inter-annotator agreement, and domain-specific performance. Identify data quality issues, propose improvements to tracking and instrumentation, and ensure the integrity of the operational data we rely on. Translate complex analytical findings into clear, compelling narratives that non-technical stakeholders can act on with confidence.

What You'll Need to Succeed

2+ years of experience in data analytics, business intelligence, or a related role within a technology or data-intensive organisation. Strong proficiency in SQL and experience working with analytics tools such as Python, R, Excel, or similar. Experience with data visualisation tools such as Tableau, Looker, Power BI, or Metabase. A strong analytical mindset, comfortable working with large datasets, identifying patterns, and drawing meaningful conclusions. Experience thriving in fast-paced environments where you define the metrics and build the analytical infrastructure that the business relies on. Exceptional communication skills, with the ability to present data-driven insights clearly to both technical and non-technical audiences. A collaborative disposition, comfortable working cross-functionally with Data Operations, Engineering, Product, and Quality Assurance teams. Genuine interest in AI, data quality, or machine learning infrastructure is highly valued.

Role Details

Employment Type: Full-Time and Part-Time positions available Location: Fully Remote Stage: Growth stage, operational

About Emetlab

Emetlab is an AI data infrastructure company built on a single conviction: the quality ceiling of any AI system is determined by its training data, not its architecture or compute. We produce expert-crafted, rigorously validated training datasets across 12 specialised domains, delivered by a global network of over 5,000 vetted domain specialists spanning 100+ languages and 50+ specialisations. Beyond datasets, we offer end-to-end AI solutions including Fine-Tuning, RLHF & Alignment, Red Teaming, Model Evaluation, Data Annotation, Synthetic Data Generation, and Pre-Training Data Pipelines.

We are not a crowd-sourcing platform. We are the data partner that matches the ambition of the teams building the next generation of AI, delivering measurable results: 42% accuracy improvements, 3x faster time-to-production, and 99.4% regulatory precision.

Equal Opportunity

Emetlab is an equal opportunity employer. We welcome dedicated individuals regardless of gender, race, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, or veteran status. We believe that extraordinary products are built by extraordinary teams, and extraordinary teams are built on inclusion, respect, and the understanding that brilliance has no single origin.

If you require accommodation during the application or interview process, please reach out to our team and we will ensure your needs are met with care.

Let's build the future of AI training data, together.

Skills Required

  • 2+ years of experience in data analytics, business intelligence, or a related role within a technology or data-intensive organization
  • Strong proficiency in SQL
  • Experience with analytics tools such as Python, R, Excel, or similar
  • Experience with data visualization tools such as Tableau, Looker, Power BI, or Metabase
  • Strong analytical mindset and ability to work with large datasets
  • Ability to define metrics and build analytical infrastructure in fast-paced environments
  • Exceptional communication skills for technical and non-technical audiences
  • Collaborative ability to work cross-functionally with Data Operations, Engineering, Product, and Quality Assurance teams
  • Interest in AI, data quality, or machine learning infrastructure
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The Company
5 Employees
Year Founded: 2015

What We Do

EMETLAB is an AI data infrastructure company focused on improving AI systems through expert-produced, rigorously validated training data. Its global network of vetted specialists creates datasets across coding, language, mathematics, healthcare, legal, finance, vision, speech, and other domains. The company also provides fine-tuning, RLHF and alignment, red teaming, model evaluation, annotation, synthetic data generation, and pre-training data pipelines.

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