Weekday, Inc. Logo

Weekday, Inc.

AI Rater Guidelines Writer (Linguist / Instructional Designer)

Reposted One Month Ago
Remote
Hiring Remotely in United States
45-65 Hourly
Mid level
Remote
Hiring Remotely in United States
45-65 Hourly
Mid level
Create clear, structured rater guidelines, evaluation rubrics, and reviewer instructions for human evaluators across domains. Review and revise documentation to remove ambiguity, design scoring frameworks, handle edge cases, and collaborate with researchers and SMEs to ensure consistent, high-quality AI evaluations.
The summary above was generated by AI

This role is for one of our clients

Compensation: $45-$65 per hour

Join a cutting-edge AI initiative focused on building the next generation of foundational AI models. We are seeking experienced Linguists, Instructional Designers, Technical Writers, and AI Content Specialists who excel at transforming complex, ambiguous program requirements into clear, structured, and actionable guidance for human evaluators.

In this role, you will play a critical part in improving AI training quality by creating precise rating guidelines, evaluation rubrics, and reviewer instructions across diverse domains including finance, retail, insurance, legal, and sports. Your expertise will help ensure consistency, accuracy, and reliability in human evaluations that directly shape advanced AI systems.

This is a full-time, fully remote engagement requiring a commitment of approximately 35 hours per week during standard weekdays.


RequirementsKey Responsibilities
  • Translate complex and ambiguous program requirements into clear, concise, and easy-to-follow rater guidelines.
  • Design comprehensive evaluation rubrics and scoring frameworks that enable consistent decision-making across a variety of AI tasks.
  • Review existing documentation to identify ambiguity, inconsistencies, contradictions, and coverage gaps, then revise guidelines to improve clarity and usability.
  • Convert subject-matter requirements from domains such as finance, retail, insurance, legal, and sports into structured evaluation instructions that non-domain raters can apply confidently.
  • Collaborate with research teams, program managers, and subject matter experts to maintain consistency across multiple guideline sets.
  • Develop documentation that addresses edge cases, exceptions, and complex evaluation scenarios while minimizing reviewer escalation.
Required Qualifications
  • Minimum 3 years of professional experience in Linguistics, Instructional Design, Technical Writing, AI Content Development, or a closely related field.
  • Direct experience creating, refining, or maintaining evaluation guidelines, rating rubrics, or reviewer instructions within Generative AI, RLHF, human evaluation, or AI data annotation environments.
  • Demonstrated ability to work across multiple subject areas and convert domain-specific knowledge into clear, structured documentation.
  • Proven experience resolving ambiguity and improving written specifications with measurable before-and-after improvements.
  • Strong analytical thinking with exceptional attention to detail.
  • Demonstrated career progression and professional growth.
  • Ability to commit reliably to 35+ hours per week during weekdays.
  • Outstanding written communication skills with the ability to explain nuanced concepts in a precise, consistent, and easy-to-understand manner.
Preferred Qualifications
  • Experience supporting AI model training, evaluation, RLHF, or large-scale annotation programs.
  • Background working with cross-functional teams including researchers, engineers, product managers, and subject matter experts.
  • Familiarity with structured documentation standards, quality assurance methodologies, and guideline governance.
  • Experience designing documentation that supports scalable, high-quality human evaluation processes.
Why Join
  • Help define how human evaluators assess next-generation AI systems.
  • Influence the quality and consistency of AI training data across multiple industries.
  • Collaborate with multidisciplinary experts working on advanced Generative AI initiatives.
  • Solve complex language and reasoning challenges while improving AI evaluation standards at scale.
  • Enjoy the flexibility of a fully remote engagement while contributing to high-impact AI research.
Equal Opportunity

We are committed to creating an inclusive workplace and welcome applications from qualified professionals of all backgrounds. Reasonable accommodations are available throughout the application and engagement process.

Contract & Engagement Details
  • Independent contractor engagement.
  • Fully remote with flexible working arrangements.
  • Expected commitment of approximately 35 hours per week during weekdays.
  • Project duration may vary depending on business requirements and individual performance.
  • Work does not require access to confidential or proprietary information from any current or former employer.
  • Payments are issued weekly based on approved work completed.
  • At this time, we are unable to support H1-B or STEM OPT candidates.

Similar Jobs

43 Minutes Ago
Remote
United States
50K-60K Annually
Senior level
50K-60K Annually
Senior level
Fintech • Financial Services
Re-engage previously funded small-business clients and convert paid-in-full accounts into new funding opportunities. The role involves high-volume outbound calling, consultative selling, Salesforce lead and funnel management, SMS and email follow-up, performance analysis, quota attainment, and collaboration with internal funding teams. The senior representative will also mentor junior staff, pilot new sales technology, and provide feedback on process improvements.
Top Skills: Ai LoggingAuto-DialerEmailSalesforceSms
54 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
93K-128K Annually
Senior level
93K-128K Annually
Senior level
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Own and execute customer marketing, advocacy, lifecycle engagement, online community, review platform, reference, and storytelling programs. Recruit and nurture customer advocates, manage testimonials and case studies, coordinate customer events and outreach, maintain advocacy systems, and provide insights to Sales, Marketing, Product, and Customer Success. Track engagement, review, retention, and advocacy metrics to optimize programs and strengthen customer relationships, brand credibility, and business growth.
Top Skills: AIAsanaAutomationCapterraG2Gartner Peer InsightsPeerboundTrustradiusWistiaWordpress
55 Minutes Ago
Remote
United States
109K-184K Annually
Senior level
109K-184K Annually
Senior level
Aerospace • Artificial Intelligence • Computer Vision • Software • Analytics • Defense • Big Data Analytics
Administer Red Hat Linux, AWS cloud infrastructure, open-source platforms, and scalable big-data environments. Build CI/CD pipelines, maintain systems, patch applications, manage backups and VPNs, troubleshoot production issues, and support security compliance. Lead AWS and cluster networking design, monitor systems, respond to incidents, coordinate vendors, and develop secure configurations across development, test, and production environments.
Top Skills: AWSCi/CdCloud InfrastructureContainerizationDevOpsInfrastructure As CodeIpsecKubernetesNessusPaasPkiPrismaQradarRed Hat LinuxVirtualized Cluster ManagementVpn

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account