出海雷达

数据分析师

Data Analyst

AI开发工程职能支持全球可投(据职位描述推断)
公司Emetlab
薪资未公开
工作地点Worldwide
地域资格全球可投(据职位描述推断)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间4 天前
数据来源Himalayas
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全球可投:该职位未限制候选人所在地区。仍需注意薪资可能按地区折算,以及实际签约方式(正式雇佣 / 独立合同)。

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.
Originally posted on Himalayas

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