- 경험
- 5년 이상
- 샐러리
- USD 80 – USD 120 / hour
- 채용 공고
- 1
- 게시됨
- 2주 전
- 작업 모드
- 재택근무
- 교육
- Master's or higher preferred
- 적임
- Experienced professionals in Special Education / IEP with strong English proficiency and solid office software skills can apply. Candidates who can work independently in a remote, asynchronous setup are suitable for this role.
- 재개하다
- 신청 시 필수 사항
직무 설명
About the Role
This position is for a remote Special Education / IEP Evaluator who will assess AI-generated work using role-specific quality standards. The work is carried out on a contract basis and pays between $80 and $120 per hour. The role is fully remote and is intended for independent, asynchronous work.
What You'll Do
- Review AI-produced materials against detailed domain rubrics.
- Spot inaccuracies and quality issues in written documents, spreadsheets, and presentation decks, including factual, visual, and formatting problems.
- Write precise, well-organized feedback that helps improve model outputs.
- Use strong subject-matter expertise in Special Education / IEP to assess the quality of the work.
- Operate independently and manage deadlines without needing close supervision.
Requirements
- At least 5 years of professional experience in Special Education / IEP is required.
- Strong command of English, either native-level or professional fluency, is necessary.
- Advanced proficiency with Microsoft Office and Google Workspace, with particular strength in Slides, is expected.
- A master's degree or higher from a well-regarded institution is preferred.
Application Process
The application is expected to take about 20 to 30 minutes. Candidates will need to upload a resume, complete an AI-based interview using their resume, and submit the application form.
Additional Information
Applications are reviewed every day. To remain in consideration, candidates should complete both the AI interview and the full application steps.
Support
If help is needed during the process, support is available by email. Further details about the interview flow and platform usage are available in the provided candidate documentation.