

Crossing Hurdles
Data Scientist | $120/hr Remote | Mercor
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
960
-
ποΈ - Date
December 10, 2025
π - Duration
3 to 6 months
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ποΈ - Location
Remote
-
π - Contract
Unknown
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π - Security
Unknown
-
π - Location detailed
United States
-
π§ - 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 worldβs 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: 3β4 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.
At Crossing Hurdles, we work as a referral partner. We refer candidates to Mercor that collaborates with the worldβs 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: 3β4 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.






