Role Description ACCEL Schools is seeking a highly qualified Special Education Teacher at the Academy with Community Partners in Mesa, Arizona. We are seeking teachers who are excited to create a rigorous and nurturing classroom environment that prioritizes student learning and social-emotional development. The Special Education Teacher supports the educational and behavioral goals of all students with a focus on students in an individualized education program. - Work cooperatively with classroom teachers, interpreting the abilities and disabilities of these students, assisting in classroom intervention strategies, modifying general education curricular as necessary, and assisting the student with regular class assignments. - Conduct diagnostic assessments for instruction. - Conduct functional behavior assessments. - Write and implement behavior improvement plans. - Facilitate IEP Meetings and write IEP goals and objectives. - Relentlessly work to meet all goals related to student achievement and culture as well as state specific achievement goals. - Utilize research-based best practices in daily planning and instruction. - Integrate culturally responsive teaching practices into daily lessons and interactions with students, parents, and colleagues. - Serve as advisor for a designated set of students. - Communicate regularly with families regarding the academic and social-emotional growth of their child. - Participate in the planning and implementation of non-instructional activities such as social events and field trips. - Perform other duties as assigned. Qualifications - Current Arizona education license. - Knowledge of State Standards and Common Core Standards. - Experience working in a full room inclusion type model or Co-Teaching in a Resource Room model. - High level of comfort working in a growth-focused coaching environment based on frequent observations, debriefs, action planning, and progress monitoring. - High quality written and verbal communication skills. - High proficiency in Microsoft Office products including Word and Outlook. - Excellent organization and time management skills. - Ability to work independently and contribute to a team. - Ability to pass federal and state criminal background checks (FBI/BCI). - Experience working in a multi-cultural setting preferred. Benefits - Life benefits – time & peace of mind. - Paid time off. - Retirement contributions. - Optional Basic Life and AD&D insurance. - Voluntary life insurance (employee, spouse, child). - Discounted childcare at Early Learning Academies locations. - Health benefits – stay well & thrive. - Medical, dental, and vision insurance. - Employee Assistance Program. - Voluntary short-term disability insurance. - Voluntary long-term disability insurance. - Career benefits – keep growing. - Career advancement opportunities throughout Accel Schools and our strong network of 4,000+ instructors and education professionals. Company Description ACCEL Schools is a network of 80+ high-performing, public charter schools serving PK-12 students. We proudly advocate for school choice and work to address educational inequities throughout the United States. Our schools are inclusive and widely differ to reflect the unique values of the many urban, suburban, and rural communities we serve. Our brick-and-mortar, virtual, and hybrid schools specialize in closing educational gaps and offer innovative models such as career-technical education, sports training, bilingual programming, and more. We have been recognized and praised by legislators, authorizers, and researchers for providing exceptional education options to students in historically under-resourced communities.

Role Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Energy System Experts Type: Contract Compensation: $40–$100/hour Location: Remote Role Responsibilities - Evaluate the accuracy and depth of AI-generated content in energy systems to strengthen reasoning and rigor in model outputs. - Review transmission system expansion planning for alignment with domain principles and methodologies. - Provide clear, structured feedback to improve training data quality and downstream performance in power distribution. - Develop evaluation rubrics and benchmarks for assessing power flow simulations. - Collaborate with subject matter experts to ensure consistency, relevance, and coverage across datasets. - Work independently and asynchronously to meet deadlines while improving AI model performance. Qualifications - Expertise in transmission system expansion planning. - Experience with transmission system operations including power flow simulations. - Knowledge of power distribution system asset management and field inspection. Application Process - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome - For any help or support, reach out to: support@mercor.com - Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Role Description We are sharing a specialised part-time consulting opportunity for professionals experienced in AI data evaluation, structured review, annotation, quality control, rubric-based assessment, and high-accuracy human data workflows. This role supports current and upcoming remote consulting opportunities focused on AI output review, structured data annotation, quality assessment, guideline-based evaluation, feedback documentation, and high-accuracy project execution. Selected professionals will apply strong attention to detail and structured reasoning to review AI outputs, identify subtle issues, follow complex guidelines, and support reliable data quality workflows. Key Responsibilities - AI Output Review & Annotation - Review, evaluate, and annotate AI-generated outputs according to detailed project guidelines. - Apply structured criteria consistently across repetitive and high-volume review tasks. - Identify subtle errors, inconsistencies, edge cases, ambiguity, and quality issues. - Support accurate human data workflows used to train and evaluate advanced AI systems. - Guideline-Based Evaluation & Quality Control - Follow complex instructions carefully and apply nuanced rules with consistency. - Review outputs for accuracy, completeness, clarity, reasoning quality, and alignment with task requirements. - Flag unclear instructions, ambiguous cases, and recurring quality patterns. - Maintain high accuracy across detail-heavy evaluation and labelling workflows. - Structured Feedback & Review Documentation - Provide clear, concise, and structured feedback to improve downstream data quality. - Document review decisions, issue patterns, and quality observations according to project standards. - Support calibration workflows by applying rubrics and quality bars consistently. - Maintain reliability, focus, and professional judgment across submitted work. Qualifications - Prior experience in AI data annotation, human data review, AI output evaluation, QA, structured review, rating, or rubric-based assessment. - Strong attention to detail and ability to catch small inconsistencies, edge cases, and subtle quality issues. - Ability to follow nuanced instructions precisely and apply them consistently. - Strong written communication and reasoning skills. - High reliability and comfort working independently on repetitive precision-based tasks. - Quality-focused mindset and ability to maintain accuracy across long task batches. Educational Background - A degree or professional background in communications, writing, business, humanities, social sciences, computer science, data analysis, education, quality assurance, or a related field is helpful. - Equivalent practical experience in annotation, review, QA, trust and safety, data evaluation, operations support, editing, or structured assessment work is also highly relevant. Nice to Have - Experience with large-scale AI data annotation, model evaluation, human feedback workflows, or data quality programs. - Background in QA, structured review, trust and safety, content evaluation, editing, data labelling, or human data pipelines. - Familiarity with multi-step rubric-based evaluation, calibrated feedback, guideline interpretation, or quality-control workflows. - Experience documenting edge cases, recurring issues, quality patterns, or review decisions. - Strong comfort working in detail-heavy, guideline-based, and accuracy-focused project environments. Why This Opportunity - Apply strong review judgment and attention to detail to structured remote project work. - Contribute to high-quality AI data evaluation, annotation, and quality-control workflows. - Work on flexible assignments aligned with your review, QA, or data evaluation background. - Use your precision and reasoning skills in a focused, quality-first review environment. - Remote structure with competitive hourly compensation. Contract Details - Independent contractor role. - Fully remote with flexible scheduling. - Part-time commitment depending on project availability. - Competitive rates between $60–$80 per hour depending on expertise. - Weekly payments via Stripe or Wise. - Projects may be extended, shortened, or adjusted depending on scope and performance. - Work will not involve access to confidential or proprietary information from any employer, client, or institution. About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

Role Description We are sharing a specialised part-time consulting opportunity for professionals experienced in quality control, technical review, rubric-based evaluation, scenario auditing, structured feedback, and complex workflow assessment. This role supports current and upcoming remote consulting opportunities focused on structured AI training scenario review, simulated environment auditing, quality assurance, rubric-based scoring, technical content validation, and high-quality project execution. Selected professionals will apply strong analytical judgment and attention to detail to evaluate complex digital scenarios, identify inconsistencies, document issues clearly, and support rigorous quality standards across scenario-based review workflows. Key Responsibilities - Scenario Auditing & Quality Review - Review complex simulated environments, personas, digital workspaces, and scenario-based tasks for realism, logic, and completeness. - Evaluate tasks involving workplace-style tools, files, communications, and multi-step digital workflows. - Assess whether scenarios are properly structured, internally consistent, technically sound, and appropriately challenging. - Identify logical gaps, missing context, factual issues, unclear instructions, and broken or unrealistic task design. - Rubric-Based Evaluation & Technical QA - Apply detailed grading rubrics to score scenario quality consistently and objectively. - Review task materials for reasoning difficulty, feasibility, prioritization demands, and alignment with evaluation criteria. - Identify technical flaws such as invalid JSON structures, incomplete metadata, inconsistent field logic, or broken workflow dependencies. - Support structured quality checks across written content, technical content, and simulated environment materials. - Feedback, Documentation & Review Operations - Provide clear, constructive, and actionable written feedback to scenario creators. - Document review outcomes, scores, issue logs, and improvement recommendations in structured review systems. - Support quality calibration by maintaining consistent standards across multiple scenario types. - Work with tools such as Airtable, JSON editors, task review platforms, AI systems, and workflow tracking tools. Qualifications - 2+ years of professional experience in QA, editing, auditing, technical review, compliance review, peer review, scenario evaluation, or complex content assessment. - Strong ability to learn and apply detailed grading rubrics with consistency. - Excellent attention to detail and ability to catch inconsistencies, edge cases, logical gaps, and technical issues. - Comfort reviewing structured content, simulated workflows, digital environments, and multi-step task designs. - Ability to provide constructive, specific, and well-organized feedback. - Strong written communication skills and comfort working in a remote, tool-heavy review environment. Requirements - An undergraduate degree is helpful. - Backgrounds in communications, English, technical writing, quality assurance, computer science, data analysis, operations, business, law, education, or related fields may be relevant. - Equivalent practical experience in editing, auditing, QA, technical review, data review, process review, or structured evaluation work is also highly relevant. Nice to Have - Experience as a senior editor, QA tester, technical reviewer, compliance auditor, peer reviewer, data analyst, technical PM, process reviewer, or systems-focused professional. - Familiarity with JSON, Airtable, Jira, Asana, SQL, Python, AI platforms, structured data review, or technical QA workflows. - Experience reviewing complex written content, technical documentation, simulated workflows, data structures, task specs, or multi-stakeholder processes. - Strong systems thinking and ability to understand how professional workflows should function logically. - Comfort working approximately full-time hours during active project periods. Benefits - Apply quality control and analytical review expertise to structured remote project work. - Contribute to high-quality scenario auditing, rubric-based evaluation, and technical QA workflows. - Work on assignments aligned with your review, editing, QA, or systems-thinking background. - Use your judgment in a focused, detail-oriented review environment. - Remote structure with competitive hourly compensation. Contract Details - Independent contractor role. - Fully remote with flexible scheduling. - Extended weekly commitment may be available depending on project needs. - Competitive rates between $95–$125 per hour depending on expertise. - Weekly payments via Stripe or Wise. - Projects may be extended, shortened, or adjusted depending on scope and performance. - Work will not involve access to confidential or proprietary information from any employer, client, or institution. About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy .