Why we are here
\nTony's Chocolonely is committed to ending exploitation in cocoa. We are an impact company that makes chocolate, not a chocolate company that makes an impact. With incredibly tasty chocolate, we lead by example, demonstrating that ethical practices and success can go hand in hand.
\nThrough Tony's Open Chain (TOC), mission allies like Albert Heijn, Ben & Jerry's, Jokolade, and Aldi have embraced a fairer, more transparent supply chain for their chocolate. Now we are on the hunt for our new Sustainability Supply Chain Intern to join our Tony's Open Chain team in Amsterdam!
\nHere’s what you’ll learn:
\nHere’s what you’ll do:
\nIn the TOC Supply Chain team
\nIn the External Affairs & Reporting team
\nRequirements
\nJob requirements:
\nHere are the hard facts:
\nHere's what you can expect from us:
\nSounds like you? If you're ready to take the chocolate industry to new heights with us, we'd love to hear from you! Everybody is welcome to apply. From classics to limited editions, we know that different flavours make life more inspiring. And not just in our chocolate assortment. At Tony’s, we welcome everyone with equal enthusiasm – regardless of race, colour, age, gender, sexual orientation, nationality, disability or veteran status. Crazy about chocolate, serious about people.
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\nYou will become a subject matter expert on all capabilities of the robotics platforms deployed in the factory. You will develop technical domain expertise in areas of 2D and 3D imaging and annotation, multi-sensor fusion and calibration, GPS/INS navigation systems, computer vision, and other autonomy-adjacent concepts.
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\nWe are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
\nAbout the Internship: The Enablement Communications Coordinator Intern will be a crucial support member for the Enablement Team. This role is essential for maintaining clear, consistent, and timely internal communications across the organisation, specifically focusing on go-to-market and product enablement initiatives.
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\nWho We are Looking For: Strong Written Communication: Ability to draft, edit, and proofread professional internal content including newsletters, Slack announcements, and email updates. Logistical Coordination: Proficiency in managing the end-to-end logistics for virtual events, such as setting up webinars, handling registrations, and distributing post-session materials. Technical & AI Proficiency: Comfort with internal communication tools (Slack, email) and virtual meeting platforms, combined with the ability to leverage generative AI to streamline content creation and workflow efficiency. Organizational Skills: High attention to detail for maintaining a cross-functional calendar of events and ensuring visibility across multiple post-sales teams. Data Collection & Reporting: Ability to gather feedback on communication effectiveness and compile basic reports on attendance and channel engagement. Time Management: Capability to manage multiple deadlines, from scheduling time-sensitive announcements to providing live support during training workshops.
\nOkta’s Intern Program As an intern, you’ll do real work that matters. While you’re on board, you’ll work on meaningful projects and have an opportunity to see what working at Okta is all about. You’ll also have the support of your mentor and manager to help you develop new skills. Our interns have the opportunity to build a strong community - with their fellow interns, within their teams, and with the broader company. We want you to grow professionally and you’ll do that through participating in events like our Executive Speaker Series and Brown Bags. And of course, we want you to have fun, too. Our internship program includes exciting opportunities to connect with your cohort beyond the office through classic local outings like Cubs games and the Chicago Architecture Boat Tour.
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The quality of Claude's next generation depends on the quality of the data we train it on , and the systems you build are what make that data possible. You'll own product surfaces end-to-end , from backend services and APIs to the web UIs that researchers, external vendors, and thousands of data labelers use every day.\\n\\nYou don't need a background in ML research. What matters is that you can take an ambiguous, high-stakes problem and ship a polished, reliable product against it, fast. This team moves very quickly. 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for RL environment creation, management, and quality review , including environment configuration, versioning, and validation workflows\\n Develop vendor-facing interfaces and tooling that let external partners create, submit, and iterate on training environments with minimal friction\\n Design and implement platforms for human data collection at scale, including labeling workflows, quality assurance systems, and feedback mechanisms that surface reward signal integrity issues early\\n Build evaluation dashboards and observability UIs that give researchers real-time insight into environment quality, training run health, and reward hacking\\n Create backend services and APIs that connect environment authoring tools, data collection systems, and RL training infrastructure\\n Build and expand scalable code data generation pipelines, producing diverse programming tasks with robust reward signals across languages and difficulty levels\\n Develop onboarding automation and documentation tooling so new vendors and internal users ramp up in hours, not weeks\\n Partner closely with RL researchers, data operations, and vendor management to translate ambiguous requirements into well-scoped, well-designed products\\n\\n### Requirements\\n\\n Strong software engineering fundamentals and real full-stack range , you're comfortable owning a surface from database schema to frontend\\n Proficient in Python and a modern web stack (React, TypeScript, or similar)\\n Track record of shipping systems that solved a hard problem, not just shipped on time , e.g. you built the thing that made your team 10x faster, or the internal tool nobody thought was possible\\n Operate with high agency: you identify what needs to be done and drive it forward without waiting for a ticket\\n Found yourself wondering "why isn't this moving faster?" in previous roles , and then have done something about it\\n Care about UX and can build interfaces that are intuitive for both technical researchers and non-technical labelers\\n Communicate clearly with researchers, operations teams, and engineers, and can turn vague asks into well-scoped work\\n Thrive in a fast-moving environment where priorities shift, Claude is your pair programmer, and the next problem is often one nobody has solved before\\n Care about Anthropic's mission to build safe, beneficial AI and want your work to contribute directly to it\\n\\n### Nice to Have\\n\\n Built data collection, labeling, or annotation platforms , ideally ones that had to scale across many vendors or many task types\\n Background building multi-tenant platforms with role-based access, audit trails, and vendor management workflows\\n Experience with cloud infrastructure (GCP or AWS), Docker, and CI/CD pipelines\\n Familiarity with LLM training, fine-tuning, or evaluation workflows\\n Experience with async Python (Trio, asyncio) or high-throughput API design\\n Background in dashboards, monitoring, or observability tooling\\n Experience working directly with external vendors or partners on technical integrations\\n A background that isn't a straight line , e.g. math or physics into SWE, competitive programming, research into engineering, or a side project that outgrew its scope\\n\\n### Representative Projects\\n\\n Building a unified platform for human data collection that integrates labeling workflows, vendor management, and QA for complex agentic tasks\\n Developing vendor onboarding automation that handles Docker registry access, API token management, and environment validation\\n Creating evaluation and observability dashboards that catch reward hacks, measure environment difficulty, and give real-time feedback during production training\\n Building environment quality review workflows that let researchers browse, grade, and provide feedback on training environments\\n Developing automated environment quality pipelines that validate correctness and difficulty calibration before environments hit production training\\n* Building internal tools for browsing and analyzing training run results, environment statistics, and data collection progress
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\nKey responsibilities include:
\nRequired qualifications include 6+ years of experience building solid rocket motors, experience handling dangerous and/or toxic chemicals, and proficiency with reading and using equipment such as calipers, scales, and gages.
\nPreferred qualifications include experience in chemistry, manufacturing, or similar fields, experience with the aerospace and defense industries, and eligibility to obtain and maintain an active U.S. Secret security clearance.
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\nThis role directly supports Anduril's Frontier Systems (AFS) Division. You will work alongside AFS growth, engineering, and program teams to translate a family of technologies, including radar, radio frequency, EO/IR, and defeat systems, into unified and winning proposals. You will need to bring strong copy editing skills and an analytical mindset to understand how internal strategy can be communicated to an external stakeholder; and ultimately, translate into wins.
\nDirect experience with technical narratives, pricing strategies, and collaboration with legal, contractual, and executive teams are a must. With these baseline skills, you will progressively move into managing larger and more complex deals and supporting the internal process of bringing them from initial inception to contract close
\nFirst and foremost you are a operator. Each day will require execution against a mixture of technical writing, brief preparation, CRM management, pricing, and editing. Constructing the compelling narratives and compliant documents that drive Anduril's business. Support Managers and Sr. Managers as they partner with myriad business and technical stakeholders to pursue long-term opportunities and execute Anduril's capture, pricing, and outreach strategy through proposals, white papers, and other documents. Coordinate and support Content Development related to white papers, general product or company information, quotes, and proposals. Develop familiarity with AFS products and capabilities across its business lines to accurately represent the division's portfolio in proposal narratives and customer-facing materials. Support process improvement projects and other cross functional initiatives. Support the development and curation of a content library of prose, briefs, and graphics for use across the business. Coordinate with technical counterparts on Anduril's engineering team to accurately represent the company's technology to potential customers. Be responsible for setting up and maintaining the deal/proposal infrastructure (Salesforce, Sharepoint, Slack, etc.) and coordinating data sharing and reviews (kickoffs, color reviews, etc.) and approvals across the team. Conduct Data Collection in support of proposal efforts (e.g., past performance information, resumes, graphics). Coordinate support with broader Anduril organisations such as the Legal Operations Team when collecting/consolidating corporate data
\nRequired qualifications include 3-5 years of experience in the Government contracting or defence contracting space, with experience not needing to relate directly to proposals (e.g., finance, engineering, project management, contracting, etc.) but should be related to contracting with the US Government. Demonstrate familiarity with cost accounting principles, pricing methodologies, and Excel to accurately analyse costs, assist in developing competitive pricing strategies, and work with agility in financial models. Excellent writing and critical analysis skills. Ability to synthesise large amounts of information into a coherent and convincing narrative. Strong project management skills with the ability to juggle many competing equities and drive a project to completion. Comfort engaging with a range of disciplines including, but not limited to, design, engineering, program management, supply chain, and finance. U.S. Person status is required as this position needs to access export controlled data, with active SECRET Clearance. Willingness and ability to work in classified environments is required, with ability for TOP SECRET Clearance preferred.
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\nLead and mentor a team of quality inspectors, ensuring the consistent delivery of quality performance for various product lines. Train team members on work instructions, procedures, and hands-on inspection techniques, maintaining accurate training records. Develop and maintain quality control standards, ensuring their consistent application through effective staff training. Author and update standard operating procedures (SOPs) related to inspection and quality control processes. Drive through ambiguities and uncertainties in inspection methods, inspection order execution, and planning to provide inspectors with tactical guidance and direction for execution. Collect and statistically analyse data to inform decision-making and identify areas for improvement. Manage and align resources to support various inspection operations, including Incoming/Receiving Material Inspection, In-process inspection, End-of-line Inspection, material containment/ad-hoc inspections. Continuously monitor processes to identify opportunities for enhancement and efficiency gains. Collaborate with cross-functional leaders and departments to ensure timely product delivery while maintaining quality standards. Ensure all inspection areas adhere to established processes, best practices, and utilise appropriate work instructions, procedures, and tools. Partner with Quality Engineering to contribute to Quality roadmap initiatives. Provide readiness for internal auditing and compliance reviews.
\nRequired Qualifications:
\nPreferred Qualifications:
\nTravel:
\nPhysical Demands and Working Conditions:
\nSalary Range: $86,000-$114,000 USD
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\nAs a Software Engineer on Anthropic's Human Data Interfaces team, you'll own the architecture and execution of our data collection pipelines, designing systems that are both performant at scale and resilient to the rapidly changing needs of our research teams.
\nResponsibilities
\nYou May Be a Good Fit If You:
\nStrong Candidates May Also Have:
\nLogistics
\nBenefits
\nHow to Apply
\nIf you're interested in this role, please submit your application through our website. We look forward to hearing from you!
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\nLocation and Other Expectations: Tutor roles may be offered as full-time, part-time, or contractor positions. For contractor positions, hours will vary widely based on project scope and contractor availability. Tutor roles may be performed remotely from any location worldwide. For US-based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.
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\nGreenlight conducts continuous compensation evaluations across departments and geographies to ensure we are keeping our pay current and competitive.
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\nResponsibilities
\nQualifications
\nBenefits
\nSalary and Benefits Information
\nFor more information on salary and benefits, click here: https://fordcareers.co/GSR, https://fordcareers.co/LL6, https://fordcareers.co/LL5, https://fordcareers.co/LL4Benefits, Click here to find out more about available programs and benefits: https://fordcareers.co/interns, Click here to find out more about available programs and benefits: https://fordcareers.co/supplemental
\nVisa Sponsorship
\nVisa sponsorship is available for this position.
\nEmployment Eligibility
\nCandidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
\nWork Schedule
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\nThe role will primarily be based in our Midlands office with some travel to customers' locations and other worldwide AVL locations.
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\nPreferred Qualifications:
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\nAnthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
\nAbout the Role
\nAnthropic's Human Data Interfaces team builds the systems that collect data to improve our models. This includes novel interfaces for data vendors, tooling, and front-end and back-end infrastructure that enables researchers to gather high-quality data at scale. As a Software Engineer, you'll own the architecture and execution of our data collection pipelines — designing systems that are both performant at scale and resilient to the rapidly changing needs of our research teams. You'll work closely with researchers, our cross-functional data operations partners, and the crowdworkers and vendors who use these tools day-to-day.
\nResponsibilities:
\nYou May Be a Good Fit If You:
\nStrong Candidates May Also Have:
\nLogistics
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.
\nYour safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
\nHow we're different
\nWe believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication and collaboration.
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\nModel Policy Manager, Youth Well-being
\nLocation
\nSan Francisco
\nEmployment Type
\nFull time
\nDepartment
\nSafety Systems
\nCompensation
\nThe base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.
\nMore details about our benefits are available to candidates during the hiring process.
\nThis role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.
\nAbout the Team
\nThe Safety Systems team is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency.
\nThe Model Policy team aligns model behavior with desired human values and norms. We co-design policy _with_ models and _for_ models by driving rapid policy taxonomy iteration based on data and defining evaluation criteria for foundational models’ ability to reason about safety. Key focus areas include: catastrophic risk, mental health, teen safety and multimodal safety.
\nAbout the Role
\nProviding access to powerful AI models introduces a host of challenging questions when it comes to model safety: How do we define safe behavior for how a model should behave? To what end? How do we do this in such a way that is actionable, objective and sustains replicability?
\nThis is a senior role in which you’ll help shape policy creation and development at OpenAI and make an impact by helping ensure that our groundbreaking technologies do not create harm. The ideal candidate can identify and develop cohesive and thoughtful taxonomies of harm on high risk topics with a sense of urgency. They can balance internal and external input in making complex decisions, carefully think through trade-offs, and write principled, enforceable policies based on our values. Importantly, this role is embedded in our research teams and directly informs model training.
\nThis role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
\nIn this role, you’ll:
\nYou might thrive in this role if you:
\nMost relevant publications:
\nAbout OpenAI
\nOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences of individuals from all walks of life.
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\nThis role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.
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\nThe two pillars of our approach are: (1) harnessing improved capabilities into alignment, making sure that our alignment techniques improve, rather than break, as capabilities grow, and (2) centering humans by developing mechanisms and interfaces that enable humans to both express their intent and to effectively supervise and control AIs, even in highly complex situations.
\nAbout the Role
\nAs a Research Engineer / Research Scientist on the Alignment team, you will be at the forefront of ensuring that our AI systems consistently follow human intent, even in complex and unpredictable scenarios. Your role will involve designing and implementing scalable solutions that ensure the alignment of AI as their capabilities grow and that integrate human oversight into AI decision-making.
\nThis role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
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\nConsumer Products Research prototypes the future of computing: we explore new modalities, interaction patterns, and system behaviors, then do the engineering required to make those ideas real in rigorous prototypes. The Neosensing team sits at the intersection of sensing, edge algorithms, and systems engineering. We build the end-to-end software that turns new signals into dependable capabilities—collection tooling and protocols, algorithm integration and evaluation hooks, and on-device loops that stay stable under real-world variability. We care deeply about software quality and iteration speed: clean interfaces, debuggability, observability, and performance under tight device constraints.
\nAbout the Role
\nAs a Software Engineer on Consumer Products Research, you’ll sit at the boundary between algorithm development and shippable systems. You’ll work closely with algorithm engineers to translate prototypes into clean interfaces, reliable pipelines, and efficient on-device implementations—with strong attention to performance, observability, and real-world failure modes.
\nThis is a software role first: we’re looking for someone who loves writing great code every day, takes pride in engineering craft, and is comfortable going deep enough into the algorithmic details to make the system work end-to-end.
\nThis role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees.
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\nYou might thrive in this role if you:
\nBonus:
\nAbout OpenAI
\nOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences of our users and the broader community.
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\nAt Microsoft AI, we are on a mission to develop the most cutting-edge algorithms for post-training large language models (LLMs) and ship those models to millions of users using Copilot every day. The AI Post – Training team at Microsoft AI is responsible for all aspects of post – training the models that we serve in Copilot, including: data collection, building evaluations that are aligned with our product and model capability goals, prototyping new capabilities to make Copilot more powerful, developing new finetuning algorithms to supercharge our models, working with platform and engineering teams to deploy those models, and closing the loop by improving the models with feedback we receive from our users.
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