SEN Tutor - Maths, English & Science
Deliver personalized one-to-one tuition in Maths, English, and Science to students with SEN/SEMH needs. Build positive learning relationships and provide regular session feedback and progress reports.
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Deliver personalized one-to-one tuition in Maths, English, and Science to students with SEN/SEMH needs. Build positive learning relationships and provide regular session feedback and progress reports.
The Associate Solutions Architect acts as a technical pre-sales resource to support SMB opportunities and bridge business requirements with product capabilities. They are responsible for delivering product demonstrations, documenting technical requirements, and ensuring successful onboarding for prospects.
Produce accurate transcriptions of spoken Korean audio and clean existing transcripts for AI training purposes. Handle complex audio elements such as crosstalk, background noise, and multiple speakers while adhering to strict formatting guidelines.
You will design, develop, and evolve high-criticality services while participating in architectural decisions to ensure system scalability and reliability. Additionally, you will take ownership of production systems, perform code reviews, and act as a technical reference to support the team's growth.
Create high-quality, photorealistic, and game-ready 3D models of armored vehicles and mechanical assets. Manage the full production pipeline from high-poly modeling to in-engine implementation while collaborating with other development disciplines.
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You will be responsible for designing, developing, and maintaining high-reliability distributed systems while supporting the full product life cycle. Additionally, you will mentor less experienced engineers and evaluate emerging trends in network operations and automation.
The physical therapist will conduct assessments, diagnose movement dysfunction, and create personalized treatment plans for clients across the lifespan. They will deliver effective therapy, collaborate with a multidisciplinary care team, and maintain accurate, HIPAA-compliant clinical documentation.
The Sales Director will develop and execute a national go-to-market strategy to drive growth for pension, health, and welfare solutions within the Taft Hartley market. They will manage the full enterprise sales cycle, building relationships with trustees, fund administrators, and consultants to convert complex opportunities into long-term partnerships.
The Technical Sales Executive will drive the adoption of digital solutions by identifying strategic opportunities, crafting compelling proposals, and managing client relationships. They are also responsible for overseeing project pricing, leading team development, and ensuring successful project execution through effective communication and resource management.
The Sales Director will lead complex enterprise sales pursuits across the Pension & Retirement market, managing the full sales cycle from pipeline creation to closing. They will build executive relationships and align internal teams to deliver value-based solutions that address customer business outcomes.
The Fire Protection Engineer is responsible for designing and engineering fire suppression and alarm systems for complex facilities such as data centers and high-rise buildings. This role involves coordinating designs with multidisciplinary teams, performing hydraulic calculations, and supporting construction and permitting phases.
The analyst will manage and reconcile product master data across enterprise systems while leveraging AI tools to improve data quality and governance. They will also define validation rules, perform data profiling, and collaborate with cross-functional teams to resolve complex data issues.
You will design and execute experiments to evaluate model behavior, create benchmarks, and develop training strategies for AI models. You will collaborate with AI labs to turn research goals into concrete data projects and technical reports.
You will design and maintain internal platforms, data pipelines, and annotation tools to support AI training infrastructure. You will also collaborate with researchers and product managers to build observability systems and define engineering standards.
This is a talent pool application for candidates interested in building infrastructure for AI training data. You will be considered for future roles across various domains including technology, operations, and product.
Review and improve real-world technical scenarios used to train AI assistants. Identify logical flaws, edge cases, and bad practices to ensure high-quality technical judgment in AI training data.
Review and improve real-world business scenarios used to train AI planning assistants. Structure complex problems and provide clear recommendations based on strategic reasoning.
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Review and improve educational scenarios used to train AI teaching assistants. Ensure learning interactions are effective and test the model's capabilities.
Contributors will role-play specific political perspectives in multi-turn conversations with AI systems to test neutrality and balance. They are responsible for justifying their evaluations based on evidence from the interactions.
Review and improve real-world technical engineering scenarios to train AI planning assistants for educational purposes. Act as a senior engineer and educator to map decision trees, identify hypotheses, and ensure technical reasoning is sound.
You will build structured materials to identify and justify comparable companies for target businesses to train AI systems. This involves applying financial expertise to articulate the logic behind peer group selection based on business models and market dynamics.
Define and justify essential financial metrics and KPIs based on company filings and business models. Interpret multi-year financial results to identify trends, accounting effects, and sector-specific drivers.
Review and improve AI-generated health scenarios to ensure they accurately reflect real-world clinical interactions. Evaluate scenarios for realism, safety risks, and the ability to test AI models effectively.
Review and improve realistic financial scenarios to train AI financial assistants by identifying and addressing critical decision constraints. You will rate task quality and rewrite scenarios to ensure they effectively test model performance under complex financial conditions.
Review and improve real-world legal scenarios to train AI assistants by identifying flawed reasoning and procedural gaps. Upgrade weak scenarios to ensure they effectively test legal judgment across various international jurisdictions.
Marketing experts will review and improve real-world scenarios used to train AI planning assistants. They are responsible for breaking down marketing challenges, mapping decision trees, and justifying decisions with data to ensure rigorous educational content.
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Nutrition experts will review and improve real-world scenarios used to train AI planning assistants in clinical and educational contexts. You will be responsible for breaking down dietary challenges, identifying alternatives, and justifying decisions with concrete data.
Nutrition experts will review and improve real-world scenarios to train AI planning assistants in clinical and educational contexts. Responsibilities include breaking down dietary challenges, mapping decision trees, and justifying clinical decisions with concrete data.
Design and execute post-training experiments for LLMs, including SFT and preference-based methods. Translate raw expert data into training-ready datasets and iterate on reward signals and evaluation pipelines.
Review and audit tasks produced by human annotators to ensure high data quality standards. Identify AI-generated content and ensure compliance with established guidelines and evaluation criteria.
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