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Call For Referral

Call For Referral

callforreferral.com

2 Jobs

614 Employees

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 background Company brand
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 background Company brand
Company Name
Call For Referral
Job Title
Senior Data Scientist (Remote | Part-Time | $100 –$120/hr)
Job Description
**Job Title** Senior Data Scientist – AI Task Evaluation & Statistical Analysis (Remote, Part‑Time) **Role Summary** Independent contractor to conduct failure analysis of AI agents performing finance‑sector tasks. Deliver statistical insights, dashboards, and framework improvements within a 1‑to‑2‑month, part‑time engagement (20–25 hrs/week) and present results to engineering and research stakeholders. **Expectations** - Execute comprehensive statistical analysis and root‑cause diagnostics on AI agent failures. - Provide actionable recommendations to refine task design, rubrics, and evaluation metrics. - Build reproducible reports and dashboards (Tableau/Looker) for cross‑functional teams. - Complete deliverables on an asynchronous schedule, meeting agreed milestones and weekly payment cycles through Stripe Connect. **Key Responsibilities** - Identify patterns in failure data across prompts, rubrics, file types, and tags. - Perform dimensional analysis by finance sub‑domain, file structure, and evaluation criteria. - Conduct root‑cause analysis to attribute issues to task design, rubric clarity, or agent limits. - Create visualizations and analytical reports highlighting edge cases, performance clusters, and improvement opportunities. - Recommend rubric, metric, and task structure refinements based on empirical findings. - Present insights to data labeling, ML engineering, and research teams. **Required Skills** - Advanced statistical analysis, hypothesis testing, and pattern recognition. - Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. - Experience with exploratory data analysis (EDA) and feature interpretation. - Knowledge of AI/ML evaluation methodologies and LLM performance metrics. - Skilled in Excel, SQL, and data visualization tools (Tableau, Looker). - Strong communication skills for cross‑functional stakeholder engagement. **Required Education & Certifications** - Bachelor’s degree in Statistics, Computer Science, Data Science, or a related quantitative discipline. - Minimum 2–4 years of professional data science, analytics, or applied statistics experience. ---
San francisco, United states
Remote
Senior
16-11-2025