Weekday, Inc. Logo

Weekday, Inc.

Machine Learning & NLP Expert

Reposted 22 Days Ago
Remote
Hiring Remotely in United States
80-110 Hourly
Senior level
Remote
Hiring Remotely in United States
80-110 Hourly
Senior level
Design real-world ML and NLP tasks, build reference solutions and evaluation frameworks in Python, assess LLM outputs for correctness and reasoning, identify failure modes, create scoring rubrics, and collaborate with experts to improve model capabilities. Part-time, remote contractor (~20 hours/week).
The summary above was generated by AI

This role is for one of our clients

Compensation: $80-$110 per hour

Join a cutting-edge AI research initiative and help shape the next generation of frontier AI models. We are seeking experienced Machine Learning & NLP Experts to contribute their technical expertise toward training and evaluating advanced AI systems. In this role, you will design challenging, real-world machine learning and natural language processing tasks, create high-quality reference solutions, and assess AI model performance to identify reasoning gaps and improve overall capabilities.

This is a part-time, fully remote opportunity requiring approximately 20 hours per week.


RequirementsKey Responsibilities
  • Design challenging, real-world machine learning and natural language processing tasks covering areas such as:
    • Machine Learning Model Development and Evaluation
    • Natural Language Understanding (NLU)
    • Natural Language Generation (NLG)
    • Information Retrieval and Search
    • Applied Machine Learning Pipelines
    • Transformer Models and Large Language Models (LLMs)
  • Develop accurate reference solutions and integrate tasks into agentic development environments using Python.
  • Build executable evaluation frameworks and testing components where appropriate.
  • Evaluate AI model outputs for technical correctness, reasoning quality, and overall performance.
  • Identify capability gaps, classify model failure modes, and provide detailed written analyses.
  • Create and refine evaluation guidelines, scoring rubrics, and quality standards for ML and NLP tasks.
  • Collaborate with fellow subject matter experts to ensure consistency, accuracy, and high-quality training data.
Required Qualifications
  • Deep hands-on experience in Machine Learning and/or Natural Language Processing through industry, research, or graduate/PhD-level work.
  • Strong proficiency in Python with practical experience developing ML or NLP applications.
  • Strong understanding of modern machine learning techniques, including:
    • Model Training and Evaluation
    • Transformer Architectures
    • Large Language Models (LLMs)
    • NLP Pipelines
    • Feature Engineering and Model Optimization
  • Experience with industry-standard frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, or equivalent.
  • Ability to commit approximately 20 hours per week.
  • Excellent written communication skills and the ability to work independently in a remote environment.
Preferred Qualifications
  • Experience in AI model evaluation, AI training data creation, or human-in-the-loop model assessment.
  • Familiarity with Retrieval-Augmented Generation (RAG), vector databases, embedding models, or multimodal AI systems.
  • Experience building benchmarking frameworks, automated evaluation pipelines, or testing infrastructure.
  • Contributions to open-source ML/NLP projects or published research are a plus.
  • Experience working with production-scale machine learning systems.
Role Details
  • Employment Type: Independent Contractor
  • Work Arrangement: Fully Remote
  • Schedule: Approximately 20 hours per week
  • Project Duration: Based on project requirements and performance, with opportunities for extension
Equal Opportunity

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract & Payment Terms
  • You will be engaged as an independent contractor.
  • This is a fully remote role that can be completed on your own schedule.
  • Projects may be extended, shortened, or concluded early depending on business needs and performance.
  • Your work will not involve access to confidential or proprietary information from any employer, client, or institution.
  • Payments are made weekly via Stripe or Wise based on services rendered.
  • Please note: We are unable to support H1-B or STEM OPT candidates at this time.

Similar Jobs

20 Minutes Ago
Remote or Hybrid
San Jose, CA, USA
87K-147K Annually
Entry level
87K-147K Annually
Entry level
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Develops and maintains business intelligence reports, analyzes data, integrates Salesforce and Tableau, and supports catalog and pricing data processes. Partners with sales, business development, and program teams on growth strategies, KPIs, market reports, and strategic planning. Provides reporting-tool expertise, training, and ad hoc market analysis while monitoring commercial aerospace trends. The role is fully remote and requires aerospace industry experience.
Top Skills: AlteryxDeep Learning FrameworksLookerMachine LearningExcelMicrosoft PowerpointMicrosoft WordMs Power QueryPower BIPythonSalesforceSQLTableauTableau PrepTime Series Analysis
25 Minutes Ago
Remote
USA
60-70 Hourly
Entry level
60-70 Hourly
Entry level
Consumer Web • Healthtech • Professional Services • Social Impact • Software
Source and engage technical talent, primarily for engineering roles, using LinkedIn Recruiter, Juicebox, Ashby, referrals, talent communities, market mapping, and creative outreach. Partner with recruiters and hiring managers to refine profiles, share market insights, build diverse pipelines, conduct initial candidate screens, and deliver a positive candidate experience in a fast-paced, metrics-driven environment.
Top Skills: AshbyJuiceboxLinkedin Recruiter
28 Minutes Ago
Remote or Hybrid
169K-281K Annually
Senior level
169K-281K Annually
Senior level
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
Serve as a trusted technical advisor to telecommunications carriers and enterprise customers. Design carrier-grade messaging, voice, identity, and fraud-prevention solutions; translate customer needs into scalable architectures and product enhancements; lead technical workshops and architecture reviews; support RFI/RFP responses; and collaborate with Product, Engineering, Sales, Business Development, and Customer Success teams to drive adoption and successful implementations.
Top Skills: 3GppAtisAWSCarrier Network ArchitectureCi/CdCloud-Native ArchitecturesContainerized ApplicationsDistributed SystemsDockerGsmaIetfInfrastructure AutomationJSONKubernetesMessaging EcosystemsMicroservicesOn-Premises EnvironmentsPrivate CloudPublic CloudRest ApisSignaling FrameworksSipStir/ShakenTelecommunications ProtocolsVoice Communications

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account