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.