Crossing Hurdles

Data Scientist | $120/hr Remote | Mercor

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist position offering $100-$120/hr for a 3-4 week remote contract. Key skills include statistical analysis, Python or R proficiency, and experience in finance-sector AI tasks. Strong relevant experience is required.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
960
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πŸ—“οΈ - Date
December 10, 2025
πŸ•’ - Duration
3 to 6 months
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Visualization #AI (Artificial Intelligence) #Data Science #Datasets #Matplotlib #Python #SQL (Structured Query Language) #Pandas #Tableau #SciPy #Data Analysis #R #Looker
Role description
At Crossing Hurdles, we work as a referral partner. We refer candidates to Mercor that collaborates with the world’s leading AI research labs to build and train cutting-edge AI models. Organization: Mercor Position: Data Scientist Referral Partner: Crossing Hurdles Type: Hourly contract Compensation: $100-$120 per hour Location: Remote Duration: 3–4 weeks Commitment: 10-40 hours/week, flexible and asynchronous Role Responsibilities (Training support will be provided) β€’ Conduct statistical failure analysis across finance-sector AI tasks. β€’ Identify patterns in AI agent performance failures across task components (e.g., prompts, rubrics, templates). β€’ Perform root cause analysis to determine if failures stem from task design, rubric clarity, or agent limitations. β€’ Analyze performance variations across finance sub-domains, file types, and task categories. β€’ Create dashboards and reports highlighting failure clusters, edge cases, and areas for improvement. β€’ Recommend improvements to task design, rubric structure, and evaluation criteria. β€’ Communicate insights to data labeling experts and technical teams. Requirements β€’ Strong foundation in statistical analysis, hypothesis testing, and pattern recognition. β€’ Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. β€’ Experience with exploratory data analysis and deriving actionable insights from complex datasets. β€’ Familiarity with LLM evaluation methods and quality metrics. β€’ Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL. β€’ Strong relevant experience. Application Process (Takes 20 min) β€’ Upload resume. β€’ AI interview based on your resume (15 min). β€’ Submit form.