Call For Referral

About the Company

Call for Referral will help job seekers to find referrals for jobs or internships. Call For Referral is going to simplify the process of asking for referrals for candidates to one single referral request rather than 1000 DMs to people asking for referrals and also wea re making it easy for referrers to choose the candidate they want to refer. we are building the most advanced referral system for job seekers, companies, and recruiters. Seems Excited!! stay tuned. We are opening Call For referral for #referrers, #referral, #candidates and #recruiters

Listed Jobs

Company Name

Call For Referral

Job Title

Data Scientist (Part-Time | Remote | $80 – $120/hr)

Job Description

Job Title: Data Scientist (Part-Time, Remote) Role Summary: Provide data science expertise to an AI research initiative, reviewing and refining prompts, code, and responses, validating solutions, delivering structured feedback, and supporting benchmarking to improve AI system performance. Expactations: Independent contractor for 1–2 months, 15–25 hours/week (up to 40), immediate start; hourly rate $80–$120 based on experience. Key Responsibilities: • Review and refine AI‑generated prompts, code, and responses for accuracy and clarity. • Validate conceptual solutions and ensure technical correctness. • Provide structured feedback on solution quality. • Tag and organize content by topic, domain, and difficulty. • Support benchmarking workflows to evaluate model performance. Required Skills: • 3+ years in data science, machine learning, or applied statistics. • Proficiency in Python and SQL; experience with R, Java, or Scala a plus. • Hands‑on ML model development using scikit‑learn, TensorFlow, or PyTorch. • Strong statistical analysis, data wrangling, and feature engineering on large datasets. • Excellent communication and documentation skills. Required Education & Certifications: • Bachelor’s degree in Data Science, Statistics, Computer Science, Applied Mathematics, or related field (advanced degree preferred).

United states

Remote

Junior

12-09-2025

Company Name

Call For Referral

Job Title

Senior Data Scientist (Part-Time | Remote US | $80–$120/hr)

Job Description

**Job Title:** Senior Data Scientist (Part‑Time, Remote) **Role Summary:** Perform advanced data‑science tasks to improve AI system performance, reliability, and accuracy. Responsibilities include prompt and code review, technical validation, feedback provision, content tagging, and support of model benchmarking workflows for high‑impact AI research projects. **Expectations:** - 15–25 hours/week (flexible up to 40 hours/week) - Immediate start, 1–2 month contract with possible extension - Independent contractor; hourly rate $80–$120 based on experience - Fully remote, asynchronous work schedule **Key Responsibilities:** - Review and refine AI‑generated prompts, responses, and code snippets - Validate concepts and solutions for technical correctness - Deliver structured feedback on solution quality and clarity - Tag and organize content by topic, domain, and difficulty level - Support benchmarking workflows to assess model performance - Collaborate with cross‑functional research teams as needed **Required Skills:** - 3+ years experience in data science, machine learning, or applied statistics - Proficiency in Python and SQL; familiarity with R, Java, or Scala a plus - Hands‑on experience building/deploying models with scikit‑learn, TensorFlow, or PyTorch - Strong statistical analysis, data wrangling, and feature‑engineering capabilities with large datasets - Ability to communicate technical findings clearly and concisely **Required Education & Certifications:** - Bachelor’s degree in Data Science, Statistics, Computer Science, Applied Mathematics, or related field (required) - Advanced degree (Master’s/PhD) preferred but not mandatory - Relevant certifications (e.g., AWS Certified Machine Learning, TensorFlow Developer) are a plus.

New york, United states

Remote

Senior

12-09-2025

Company Name

Call For Referral

Job Title

Generalist Data Labeling Specialist – Remote $45/hr

Job Description

Job Title: Generalist Data Labeling Specialist – Remote Role Summary: Provide high‑quality annotation and classification of text, images, and multimedia data for AI model training. Structure large volumes of information using predefined rubrics, identify errors, and support continuous improvement of AI perception and reasoning systems. Expectations: - U.S. residency required. - 20 hours per week with fully remote, asynchronous scheduling. - Immediate start, contract through October with possibility of year‑end extension. - Independent contractor status; payment weekly via Stripe. Key Responsibilities: - Synthesize extensive datasets into clear, structured outputs. - Annotate and classify content across modalities (text, image, multimedia) per project guidelines. - Apply standardized rubrics and taxonomies to maintain consistent labeling quality. - Detect and flag errors, ambiguities, or inconsistencies in datasets. - Contribute insights for evaluation and enhancement of AI reasoning and perception systems. Required Skills: - Strong analytical and reading comprehension abilities. - Ability to process and structure complex information efficiently. - Excellent written communication and attention to detail. - Experience in data labeling, content moderation, taxonomy development, or linguistic annotation preferred but not mandatory. - Self‑motivated, capable of independent work while maintaining quality under flexible schedules. Required Education & Certifications: - No specific educational or certification prerequisites specified.

Canada

Remote

29-10-2025

Company Name

Call For Referral

Job Title

Data Scientist (Part-Time | Remote | $100 -$120/hr)

Job Description

**Job Title** Data Scientist (AI Task Evaluation & Statistical Analysis Specialist) – Part‑Time, Remote **Role Summary** Conduct comprehensive statistical failure analysis on AI agents performing finance‑sector tasks. Diagnose performance bottlenecks, identify systemic failure patterns, and enhance model evaluation frameworks to improve quality, fairness, and reliability of large‑scale AI systems. **Expectations** - Commit 20–25 hours per week. - Contract duration 1–2 months, with potential extension. - Deliver actionable insights, dashboards, and recommendations to cross‑functional teams. - Work asynchronously and remotely, submitting deliverables on schedule. **Key Responsibilities** - Perform root‑cause and dimensional analysis of AI agent failures across prompts, rubrics, file types, tags, and finance sub‑domains. - Identify recurring failure patterns and performance variations using hypothesis testing and pattern recognition. - Build dashboards and analytical reports (e.g., Tableau, Looker, matplotlib) highlighting edge cases, performance clusters, and improvement opportunities. - Recommend refinements to rubric design, evaluation metrics, and task structures based on empirical findings. - Communicate insights and recommendations to data labeling teams, ML engineers, and research collaborators. **Required Skills** - Strong foundation in statistical analysis, hypothesis testing, and pattern recognition. - Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis; EDA and feature interpretation expertise. - Experience with SQL and Excel for data extraction and manipulation. - Knowledge of AI/ML evaluation methodologies and LLM performance metrics. - Ability to create clear, data‑driven visualizations and reports. **Required Education & Certifications** - Bachelor’s degree or higher in Statistics, Mathematics, Computer Science, Data Science, or related field. - Relevant certifications (e.g., Certified Analytics Professional, Microsoft Certified: Data Analyst Associate) are a plus. ---

San francisco, United states

On site

Junior

10-11-2025