Back to board
leadership·27 days ago

FLN Content Reviewer

Remote, Oregon, United StatesRemoteFull-timeEntry · 1-2 yearsH1B likely

About this role

Background

Leadership For Skilled Education Foundation (branded as Leadership for Equity, LFE) is a non-profit organisation based in Pune, Maharashtra, working to strengthen India’s public education system so that every child learns and thrives. We envision public education systems that refuse to let children down.
LFE partners with state and district governments across multiple states—including Maharashtra, Andhra Pradesh, and Haryana—to improve teaching practices and build sustained academic support structures within the public system. Our work is anchored in the belief that public education systems are the gatekeepers of social equity, and strengthening them is essential to ensuring that every child has access to strong foundational and future-ready learning.

Approach

LFE’s systems-change approach focuses on improving classroom practice and enabling government ownership through three core levers:
  1. Co-creating high-quality curricular resources and building teacher capacity
  2. Developing academic leadership to coach and mentor teachers
  3. Providing data-driven advisory support and policy implementation guidance
Our model empowers teachers as instructional leaders and embeds long-term support through government-run mentor cadres, continuous classroom observation cycles, and in-system academic structures. Technology plays a critical role, including an in-house Classroom Observation App for real-time monitoring and a WhatsApp-based teacher support chatbot for contextual resource delivery.
The approach is iterative and context-responsive, grounded in classroom realities and tailored to state and district needs. Implementation varies across geographies—whether working directly with teachers or through government-appointed mentors—ensuring relevance and feasibility within existing structures. A continuous feedback loop of training, observation, and coaching moves beyond one-time interventions toward sustained practice change. All programs are co-designed and co-implemented with government partners to ensure scale, sustainability, and systemic ownership, ultimately leading to improved student learning outcomes in foundational and future literacy.

About the Work: Shikshak Sahyogi Chatbot

LFE is developing the Shikshak Sahyogi Chatbot as a conversational academic support partner for teachers.
Teachers will be able to use the chatbot to access:
  • Lesson plans
  • Classroom activities
  • Support for addressing student misconceptions
  • Strategies for differentiated classrooms
  • Assessment and practice questions
  • Introductory classroom activities
  • Model responses and other academic resources
The intent is to provide teachers with reliable academic support when a mentor is unavailable. The chatbot will be accessible through WhatsApp, a platform teachers already use regularly, and will provide contextual resources and responses grounded in expert-reviewed content.
As part of this initiative, LFE is developing a large FLN Question Repository for Grades 1–5. The repository will include chapter-mapped and competency-mapped questions aligned with the Haryana FLN Curriculum Framework, NIPUN Bharat goals, and Haryana SCERT/NCERT textbooks.

Job Description and Responsibilities

The External Consultant – FLN Content Reviewer (Hindi) will be responsible for reviewing and validating FLN questions for Grades 1–5 in Hindi Language and Mathematics. The reviewer will be accountable for ensuring the academic accuracy, answer correctness, curriculum alignment, mapping accuracy, cognitive appropriateness, language quality, and usability of questions before they are approved for inclusion in the chatbot repository.

Academic and Content Review (35%)

  • Review FLN questions developed for Grades 1–5 in Hindi Language and Mathematics.
  • Verify conceptual and factual accuracy.
  • Ensure questions are appropriate for the intended grade and developmental level.
  • Check that questions are clear, self-contained, and unambiguous.
  • Ensure that each question has one clear and defensible answer.
  • Review MCQ distractors for plausibility and alignment with common student misconceptions.
  • Check passage-based and picture-based questions for completeness and usability.

Answer Key Verification (20%)

  • Independently verify the answer key for every reviewed question.
  • Re-solve Mathematics questions.
  • Verify Language answers against passages, texts, and reference resources.
  • Identify questions with incorrect, incomplete, or ambiguous answer keys.
  • Ensure marking guidance is sufficiently clear for open-ended questions.

Curriculum Mapping and Cognitive-Level Validation (20%)

  • Verify chapter and competency mapping.
  • Ensure competency codes and chapter names match the Haryana reference frameworks exactly.
  • Review learning objective alignment.
  • Validate the assigned cognitive level.
  • Ensure appropriate distribution of question types and cognitive demand across chapters and competencies.
  • Check the accuracy and completeness of metadata and tagging.

Language and Localisation Review (15%)

  • Review Hindi grammar, spelling, syntax, and readability.
  • Ensure vocabulary and sentence length are appropriate for the grade.
  • Ensure contexts are locally relevant, inclusive, and free from stereotypes.
  • Check consistency of Devanagari script and terminology.
  • Ensure content is appropriate for Hindi-medium government-school contexts.

Feedback, Revision and Quality Monitoring (10%)

  • Provide specific and actionable feedback to the Content Developer.
  • Track questions requiring revision and verify corrections.
  • Ensure revision cycles are completed within agreed timelines.
  • Identify recurring quality issues and communicate patterns to the LFE Content Team.
  • Maintain consistency in quality standards across the repository.
  • Support improvements to review guidelines, checklists, and quality assurance processes where required.

Requirements

Education & Experience

  • Graduate or postgraduate degree in Education, Hindi, Mathematics, Social Sciences, or a related field.
  • 1–2 years of relevant experience in FLN, educational content development, worksheet development, assessment creation, question-bank development, or curriculum support.
  • Experience creating or curating Hindi-medium educational content.
  • Prior experience in FLN programmes will be preferred.
  • Experience in assessment design or curriculum development will be an added advantage.
Important: Given the quality and productivity expectations of this assignment, please apply only if you meet the above requirements and can commit to the expected output and timelines.

Knowledge, Skills & Capabilities

  • Good understanding of Foundational Literacy and Numeracy.
  • Strong written proficiency in Hindi.
  • Understanding of the learning needs of children in Grades 1–5.
  • Familiarity with school curricula, textbooks, competencies, and learning outcomes.
  • Ability to create clear, age-appropriate, and unambiguous questions.
  • Strong attention to detail and accuracy.
  • Ability to work independently and meet daily and monthly targets.
  • Openness to feedback and ability to incorporate revisions quickly.
  • Proficiency in Google Drive, Google Docs, and Google Sheets.
  • Ability to work systematically with large volumes of structured content.

Location and Compensation

Location: Remote, assignment-based engagement. Periodic in-person reviews, workshops, training sessions, or coordination meetings may be required. The consultant should be available to work from the office approximately 2–3 days per month, or as required by the project.
Duration: Six months, Performance will be reviewed after the first month. Continuation for the remaining assignment period will be based on content quality, output, adherence to guidelines, mapping accuracy, responsiveness to feedback, and overall performance.
Compensation: ₹25,000–₹30,000 per month, depending on relevant experience, demonstrated expertise, and performance in the selection process.