

Crossing Hurdles
Data Scientist | $120/hr Remote
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist position with a contract duration of 3–4 weeks, offering $100-$120 per hour. It requires strong statistical analysis skills, proficiency in Python or R, and familiarity with LLM evaluation methods. Remote work is available.
🌎 - Country
United Kingdom
💱 - Currency
$ USD
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💰 - Day rate
960
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🗓️ - Date
November 7, 2025
🕒 - Duration
3 to 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United Kingdom
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Looker #Datasets #Matplotlib #Python #Tableau #SciPy #R #Data Analysis #SQL (Structured Query Language) #Visualization #Pandas #Data Science
Role description
At Crossing Hurdles, we work as a referral partner. We refer candidates to our partner that collaborates with world’s leading AI research labs to build and train cutting-edge AI models.
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)
• Conduct statistical failure analysis across finance-sector AI tasks.
• Identify patterns in AI agent performance failures across task components (e.g., prompts, rubrics, templates).
• Perform root cause analysis to determine if failures stem from task design, rubric clarity, or agent limitations.
• Analyze performance variations across finance sub-domains, file types, and task categories.
• Create dashboards and reports highlighting failure clusters, edge cases, and areas for improvement.
• Recommend improvements to task design, rubric structure, and evaluation criteria.
• Communicate insights to data labeling experts and technical teams.
Requirements
• Strong foundation in statistical analysis, hypothesis testing, and pattern recognition.
• Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis.
• Experience with exploratory data analysis and deriving actionable insights from complex datasets.
• Familiarity with LLM evaluation methods and quality metrics.
• Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL.
• Strong relevant experience.
Application Process (Takes 20 min)
• Upload resume.
• AI interview based on your resume (15 min).
• Submit form.
At Crossing Hurdles, we work as a referral partner. We refer candidates to our partner that collaborates with world’s leading AI research labs to build and train cutting-edge AI models.
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)
• Conduct statistical failure analysis across finance-sector AI tasks.
• Identify patterns in AI agent performance failures across task components (e.g., prompts, rubrics, templates).
• Perform root cause analysis to determine if failures stem from task design, rubric clarity, or agent limitations.
• Analyze performance variations across finance sub-domains, file types, and task categories.
• Create dashboards and reports highlighting failure clusters, edge cases, and areas for improvement.
• Recommend improvements to task design, rubric structure, and evaluation criteria.
• Communicate insights to data labeling experts and technical teams.
Requirements
• Strong foundation in statistical analysis, hypothesis testing, and pattern recognition.
• Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis.
• Experience with exploratory data analysis and deriving actionable insights from complex datasets.
• Familiarity with LLM evaluation methods and quality metrics.
• Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL.
• Strong relevant experience.
Application Process (Takes 20 min)
• Upload resume.
• AI interview based on your resume (15 min).
• Submit form.






