Location: San Francisco, CA
About Anthropic
Anthropic’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.
About the role:
You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our
Responsible Scaling Policy
), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team.
Our blog
provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. Our current topics of focus include...
Scalable Oversight:
Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains.
AI Control:
Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios.
Alignment Stress-testing
:
Creating
model organisms of misalignment
to improve our empirical understanding of how alignment failures might arise.
Automated Alignment Research:
Building and aligning a system that can speed up & improve alignment research.
Alignment Assessments
: Understanding and documenting the highest-stakes and most concerning emerging properties of models through pre-deployment alignment and welfare assessments (see our
Claude 4 System Card
)
, misalignment-risk safety cases, and coordination with third-party evaluators.
Safeguards Research
: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment.
Model Welfare:
Investigating and addressing potential model welfare, moral status, and related questions. See our
program announcement
and welfare assessment in the
Claude 4 system card
for more.
Note: For this role, we conduct all interviews in Python and prefer candidates to be based in the Bay Area.
Representative projects:
Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions.
Run multi-agent reinforcement learning experiments to test out techniques like
AI Debate
.
Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks.
Write scripts and prompts to efficiently produce evaluation questions to test models’ reasoning abilities in safety-relevant contexts.
Contribute ideas, figures, and writing to research papers, blog posts, and talks.
Run experiments that feed into key AI safety efforts at Anthropic, like the design and implementation of our
Responsible Scaling Policy
.
You may be a good fit if you:
Have significant software, ML, or research engineering experience
Have some experience contributing to empirical AI research projects
Have some familiarity with technical AI safety research
Prefer fast-moving collaborative projects to extensive solo efforts
Pick up slack, even if it goes outside your job description
Care about the impacts of AI
Strong candidates may also:
Have experience authoring research papers in machine learning, NLP, or AI safety
Have experience with LLMs
Have experience with reinforcement learning
Have experience with Kubernetes clusters and complex shared codebases
Candidates need not have:
100% of the skills needed to perform the job
Formal certifications or education credentials
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$350,000
—
$500,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We 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. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your 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.
How we're different
We 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 skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Thessaloniki; Athens; Limassol; Nicosia
Workplace: hybrid
The Role:
If you are a Senior Cloud Engineer there may be a place for you at our Group. Outside the usual suspects of solutions, projects, deep troubleshooting and investigations you will also be driving the Group towards its cloud-native goal. Processes, best practices, pillars and their risk assessments will be but a few of the long-term responsibilities you will have.
The main responsibilities of the position include:
Honour and practice Well Architected Framework in all tasks and responsibilities
Research workloads for migrating them to the cloud with minimal interruption and impact
Design, orchestrate and track cloud migration projects
Design and consult re-platform and re-factor of current cloud infrastructure
Coordinate with other IT departments and teams about their cloud infrastructure
Investigate and perform regular assessments of cloud deployments in compliance to the Group's standards and best practices
Design and orchestrate a risk register of cloud deployments and resources, and coordinate its communication to project managers, senior leadership and other IT departments or teams
Research, develop and implement fair use policies and best practices for cloud services while complying to the Group's standards
Drive requests for new technologies, services or solutions required from internal customers
Design, document and deploy Proof-of-Concepts (PoCs) and Solutions for internal customers in compliance with the Group's framework
Define and oversee the Group's deployment standards and pillars and ensure they are applied across cloud solutions and resources
Follow and provide training for new and current technologies and services used
Analyse, oversee and remediate cloud costs
Main requirements:
University degree in Computer Science, Engineering or a similar discipline
5 years of cloud services experience, 3 of which should be on AWS cloud
Advanced knowledge in solution design and deployment projects
Understanding and practice of Well Architected Framework
Methodical troubleshooting of issues and mentoring capabilities
Experience in AWS technologies, services and ecosystem
Advanced knowledge of Infrastructure as Code (IaC) concepts and tools, preferably
HCL Terraform and AWS CloudFormation
Experience with versioning tools such as git
Advanced Linux, networking and scripting skills (Bash)
Comprehend and accommodate practices such as FinOPS or SRE
Distinctive organisation and documentation skills
The following will be considered an advantage:
Experience in Windows OS
Experience in RDBMSs, preferably Postgres and MySQL
Experience in scripting languages such as Python or Go
Benefit from:
Attractive remuneration package plus performance-based reward
Private health insurance
Corporate pension fund
Intellectually stimulating work environment
Continuous personal development and international training opportunities
All applications will be treated with strict confidentiality!
By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.
Location: Germany
Job Title: Sales and Key Account Manager
Location:
Remote in Germany
Reports to:
Sales Director
Department:
Sales & Business Development
Employment Type:
Full-Time
About the Company:
Our client is a leading innovator in the eye care industry, specializing in high-quality contact lenses and vision solutions that enhance everyday life. In the market for the past 30+ years they have a commitment to science, innovation, and customer care, to serve eye care professionals (ECPs), retail partners, and consumers worldwide.
They are growing and looking for a strategic, results-driven
Sales Director
to lead their commercial efforts, expand market share, and drive revenue across new and existing channels.
Position Summary:
The Sales and Key Account Manager will be responsible for executing the company’s sales strategy to drive revenue growth, and foster strong relationships with key partners and stakeholders in the contact lens and broader eye care market in the DACH market.
This role requires a deep understanding of the ophthalmic industry, particularly the contact lens segment, and the ability to translate customer needs into strategic action plans.
Responsibilities:
To manage the contact lenses business of the company with responsibility for key accounts, sales, budgeting and supporting colleagues from sales team and from Customer Service.
To ensure that the objectives set by his/her supervisor are achieved, and that his/her business activities are planned and organized on such a way that provides maximum sales volume and profitability in the short and long term
Develop the area Germany, Austria and Switzerland for contact lens in order to maximize company's market presence. Responsible for the development and achievement of sales through distributors, buying groups, optical retail chains, pharmacy retail chains, online retailers as well as through the direct sales to independent stores.
Focus on growing and developing existing clients, together with generating new business in order to achieve sales target
Gather market, competitor information and customer's feedback in order to let the company to react and be prepared accordingly.
Ensure a good level of understanding and knowledge of organization's products and service in order to ensure that customer enquires can be dealt with accurately and appropriately.
Acquiring and sourcing potential customers in order to achieve sales budget allocated.
Analyses and project achievable sales budget in order to maximize business and profit.
Actively participate in trade fairs, congresses, conferences and seminars, propose the ways of marketing in order to increase noticeability of the products in assigned sales territory
Requirements:
5 years' experience in sales of contact lenses in the Dach territories
Strong achievement record in major accounts development
Strong communication skills, both verbal and written
Strong influencing and persuasion skills
Pro-active in seeking projects
Strong business judgement, commercial awareness
High drive and energy
Strong flair in spotting business opportunities
Proficient in English and German, both verbal and written
What We Offer:
Competitive base salary and performance-based incentives
Opportunities for professional development and advancement
A collaborative and innovative work culture in a growing industry
Location: Lagos, Nigeria; Russia
We are looking for a Data Science Manager with a strong background in managing data-driven solutions to lead a high-performing DS team within the banking sector. This role combines ML expertise, team leadership, and cross-functional communication, with a focus on scorecard development, model performance, and portfolio risk monitoring.
Responsibilities
Advanced ML-modeling and data-exploration: ensembles and AI-algorithms, AI-initiatives management, external AI-services integration. Focus on models and solutions for: credit, fraud, marketing, collection and contact strategies, text, speech and behavioral analytics, dynamic pricing and limits.
Stakeholders' expectations management: communication with risk (portfolio) team, collection team, other business units on score-modelling and backlog prioritization, task clarification.
DS-team management: recruitment, training, performance improvement, scrum-servicing, task-management. Improvement DS-team communication with consumers and business needs understanding.
Environment, process and tools management: git, Jira board, Confluence content, Agile rituals.
ML-data management: colabration with DWH-team; data-availability, reliability and quality assessment; new/existent data-sources integrations support and management, data-flow stability control, feature-store administation.
ML-model lifecycle management: from business needs identification to "sell", deployment and production-test stage. ML-models stability monitoring and quality control, reassessment and proactive quality improvement (re-calibration/ re-building).
Knowledge management: Maintain up-to-date project documentation, implement standards, control discipline and maintain actuality for confluence descriptions, feature-store meta-data, git documentation, internal experience sharing and handover, new methodologies and tools review and implementation.
Requirements
Demonstrated experience working in fintech or banking, especially within emerging markets.
Hands-on experience developing ML scoring models for text, speech, behavioral analytics, and dynamic modeling in card businesses.
Strong programming skills in Python and SQL for data analysis, modeling, and automation.
Proven experience with machine learning techniques, including:
Regression, classification, ranking, boosting
Graph-based models, neural networks, NLP, and large language models (LLMs)
Solid understanding and practical implementation of AI concepts and systems.
Familiarity with MLOps, including data pipelines, model deployment, and productionizing machine learning solutions.
Experience with cloud computing platforms, especially AWS (highly preferred).
Proficiency with BI and data visualization tools such as PowerBI, Excel, Tableau, or Grafana.
Prior exposure to risk management or analytics, particularly within the cards or payments space.
Strong grasp of Agile and Scrum methodologies in a data or engineering environment.
Excellent communication and presentation skills, with the ability to simplify complex data concepts for both technical and non-technical audiences.
Fluent in spoken English.
Location: Munich, Germany; Frankfurt am Main, Germany; Berlin, Germany
An established European IT consulting firm with Portuguese roots and a strong presence across multiple European countries, including Spain, France, the UK, Switzerland, Poland, and Italy, is expanding into the German market. Known for building successful teams and businesses from the ground up rather than through acquisitions, this firm seeks a driven professional to establish and grow its presence in Germany.
Role Overview:
The Sales Manager/Sales Director will be responsible for launching and growing operations in Germany, with a key focus on IT consulting services in the banking and insurance sectors. This position offers a unique opportunity to lead the market entry strategy, drive business development, and establish a sustainable client base, with potential for career advancement within the company.
Key Responsibilities:
Lead and execute the market entry strategy for Germany, focusing on identifying growth opportunities in IT consulting for the banking and insurance sectors.
Develop and manage a comprehensive sales funnel, driving business development activities to build and maintain a pipeline of potential clients.
Collaborate closely with the technical consulting teams to oversee service delivery, ensuring high-quality client engagements.
Work alongside the CEO and team to develop and implement a localized business plan, including recruitment strategies to build a capable German team.
Leverage existing client relationships and continue to expand the company’s network within the German market.
Report directly to the CEO, maintaining open lines of communication on strategy, market insights, and growth progress.
Requirements
5-10 years of experience in IT market development and sales within the German market.
Proven track record in business development, ideally within IT consulting, with a focus on building client relationships in the banking and insurance sectors.
Entrepreneurial mindset, highly motivated to grow a new market and team.
Ability to work independently, with an understanding of the German business environment and regulatory landscape.
Proficiency in German and English.
Additional Information:
Contract:
Permanent
Salary:
Open
Location:
Hybrid role with flexibility to work remotely and office presence in Frankfurt, Berlin, or Munich
Munich, Germany; Frankfurt am Main, Germany; Berlin, Germany; Hybrid role with flexibility to work remotely and office presence in Frankfurt, Berlin, or Munich
Location: Berlin, Germany
Our client is an all-in-one platform combining boutique fitness and advanced technology. Their platform helps their partners manage their bookings, payroll, marketing and more, to streamline operations and boost their commercial success.
Since they launched in 2019, they have already achieved the following:
Built a community of over 7 million users
Finalized the biggest Series B this year (€30 million)
Grown their team to more than 160 employees
About Your Role
Joining the Northern Europe team (France, Benelux & DACH) means stepping into a dynamic and mature market where our client already holds a strong presence.
They are looking for curious, creative minds who can bring fresh ideas and solutions to take their success to the next level. As part of this team, you’ll be joining a young, dynamic network of sharp, driven professionals who are deeply committed to excellence, collaboration, and sustained growth. You’ll find a supportive environment that values both independent thinking and teamwork, pushing you to make a tangible impact on their journey as a leader in the region.
One of the coolest aspects of being part of their team is the clear career progression and growth opportunities. As an SDR, you have the chance to advance through levels—from Junior SDR to Confirmed SDR, and then to Senior SDR—all within the span of a year. With each progression, you gain more responsibility, increase your influence, and have a direct impact on your bonus structure. After reaching Senior SDR, there are exciting opportunities to grow into roles like Junior AE or Team Leader SDR, putting you in the driver’s seat of your career journey.
What Will Be Your Impact
Prospect accounts and identify potential new revenue segments for your region by researching and analyzing market opportunities.
Conduct targeted email outreach to engage prospects and spark interest in our client's solutions.
Cold call potential clients to introduce your company and qualify leads based on their needs.
Use LinkedIn and Instagram to connect with key decision-makers, starting conversations and driving interest.
Communicate with their Sales and Operations Team to provide insights into market trends and developments.
Report and manage all of your activities on their SalesLoft platform to organise your own Sales Pipeline.
Leverage video and other media outreach methods to personalize communication and increase engagement with prospects.
Requirements
Have experience in sales, customer service, or similar client- facing roles, ideally in a high-growth or startup environment.
Have native level of German and fluency in English.
Enjoy taking initiative and achieving results in a fast-paced environment.
Thrive on challenges and are eager to develop your skills in a dynamic market.
Can work independently while contributing to a strong team spirit and collaboration.
Are organised, precise, and demonstrate excellent communication skills in both written and verbal forms.
Have a creative mindset: creative people share ideas, suggest solutions, and are not afraid to innovate!
Comfortable with digital tools and sales software (CRM, LinkedIn, Email platforms, etc.).
Able to multitask and prioritize effectively, managing a high volume of outreach without compromising quality.
Benefits
Their benefits package is thoughtfully crafted to ensure you feel valued, supported, and empowered. They also offer ample career growth opportunities through continuous learning, & mentorship. Plus, they are continuously enhancing their offerings.
Attractive compensation package:
Competitive base salary, performance-based bonuses, and equity options, aligning your success with the company’s growth!
Career growth and development:
Fast-track your career growth with personalized development and trainings.
Diverse & global team:
Work alongside a multicultural, international team that celebrates diversity and creativity.
Work-Life harmony:
Enjoy the flexibility of a hybrid model, with remote days to support your work-life balance.
Say goodbye to homesickness:
Work remotely from abroad for up to 3 weeks each year.
Comprehensive health coverage:
They have got you covered with fully-funded health insurance, so you can focus on what matters most.
Paid sick days:
Feel supported with paid sick leave, because your health and well-being come first.
Exclusive fitness perks:
Stay active with a specially negotiated gym plan, tailored for you.
Team building & sports activities:
Exciting team-building, after-work gatherings and sports initiatives designed to inspire and energize.
What the Interview Process Will Look Like:
Discovery call with their Talent Acquisition team.
Interview with their SDR Team Leader.
Interview with their Country Manager.
Location: Subang Jaya, Malaysia
The Company:
Our client is an independent games development studio founded 2008 in the cultural heart of Southeast Asia. They are a game tech focused studio with both internal OIP (Original Intellectual Property) and external co-development tracks. They build games over multiple platforms, primarily focused on Windows Desktop PC (Unreal Engine). Their flagship and breakout is a fully serviced live operational squad based multiplayer PvP (Player-Versus-Player) 5v5 (Five-Versus-Five) FPS (First-Person-Shooter) and RTS (Real-Time-Strategy) hybrid action combat game launched in 2021.
Our client provides full cycle work for hire, co-development, consulting, backend development, and virtual production support disciplines across all departments both internally and externally. Today, they are a team of 60 full-time internal developers and growing. They are committed to be wholly involved in developing digital interactive entertainment software and remain passionately strong. Combined with a people first, through innovation and integrity, they are poised to be the leading force in games development within the region.
The Responsibilities:
Our client is on the lookout for great full-time talents in Game Programming and Development to join their fast growing team. You will have the opportunity to collaborate with their core team in developing highly engaging, polished, and industry standard interactive game products, full cycle from its core conception to market launch in their many internal and external projects.
Principal Responsibilities
Work alongside their team and project stakeholders in all aspects of game development. To produce robust, optimized and maintainable code bases for game prototyping, core functionality, game mechanics, and engine features, maintenance, and infrastructure.
Contribute side by side with their team of programmers in developing, profiling, optimizing, and debugging code to meet the project’s performance, platform, and quality requirements. Contributing in code reviews, maintenance tests, and documentation.
Collaborate alongside multiple internal disciplines and departments, in designing, planning, and ascertaining accurate production estimates, to identify any potential pitfalls during development. To ensure a player-first approach, delivering a first class experience for their players.
Team and Personal Responsibilities
Good interpersonal, communication, and collaborative skills, is able to effectively liaise over various disciplines, and stakeholders across different project and approval stages.
Experienced, or keen to learn and improve new pipeline and production practices through iterative development methodologies, be it traditional or agile workflows.
Constantly familiarizing and keeping updated with current industry standards, trends, pipelines, and software to effectively and consistently hit higher graphical benchmarks.
Requirements
Core Requirements
Experience in developing code for Game Engine(s).
Experience with Unreal Engine 4, and or 5 (and above).
Experience in C++, C#, Blueprints, etc. with good Coding Practices and Principles.
Experience in Version Control Software (SVN, Git, Perforce, etc.).
Experience in Debugging Issues, Optimizing Performance, and Scaling code bases.
Experience in Traditional and or Agile work environments and methodologies.
Good problem-solving acumen, with a creative aptitude for unique solutions.
Ability to Self-Asses, Iterate, and Improve on one’s own work independently.
Knowledgeable in a typical game development cycle.
Is Proficient in English, verbal and written.
Supplementary Skills
Experience with Unreal Engine 4, and or 5 (and above) and its set of features:
World Building, Characters, Animation, Materials, Visual Effects, AI, User Interface, Gameplay Frameworks, Developer Tools, etc.
Experience with other Game Engine(s).
Beneficial & Bonus Skills
Experience in Advanced Unreal Engine series of features:
Multiplayer and Networking
Asset Management
Rendering Pipeline (Nanite and Lumen)
Gameplay Ability System (GAS)
Backend Technologies (Authentication, Game Session Management, Matchmaking, Databases, APIs, Integration from third-party solutions with in-game functionalities, etc.)
Experienced in creating cross-platform games for a range of target systems and hardware (Desktop, Console, Mobile, etc.).
The Rank Requirements:
Junior / Fresh Graduate Game Programmer
Possesses a good understanding of scripting and programming when working on a game project. Alongside a sufficient portfolio showcasing in-game mechanics using industry standard software(s) and game engine(s). Previous work should showcase a good foundation in programming concepts, language, and proficiency, with the use of debugging tools towards a certain benchmark within platform specifications.
Intermediate Game Programmer
Solid experience and demonstrated ability in game engine development tools. Able to develop, maintain and scale codebases to meet project requirements consistently and efficiently. Decent proficiency in in-game technical practices and design principles. Alongside knowledge of performance optimization techniques, and profiling tools in fine-tuning the game. Previous work showcases strong problem solving skills and ability to work with cross-functional teams. Have at least been credited with one title launch, with preferably a minimum of three to four years of industry experience.
Senior Game Programmer
Excellent knowledge and demonstrated consistency in delivering successful game projects, within its technical requirements. Ability to document workflows, improve pipelines, and mentor new staff. Exceptional low-level programming, optimization techniques, and able to understand game architecture and design patterns. Have at least been credited with two or more game title launches, with preferably a minimum of five to six years of industry experience.
Principal Game Programmer
Exceptional proficiencies and consistent demonstration in delivering engaging, high-quality, and complex functionalities throughout various high profile projects. Strong game engine technical and optimization ability, with an in-depth knowledge of programming languages and game development tools. Able to benchmark, and document processes, while maintaining the standard of delivery. Have at least been credited with three or more game title launches, with preferably a minimum of eight to ten years of industry experience.
Lead Game Programmer
Excellent background in game programming development coupled with strong interpersonal, communication, and project management skills. Ability to fully understand and breakdown project requirements, and work closely with all disciplines in maintaining timely delivery of feature deliverables to their respective stakeholders. Demonstrated experience in delegating and maintaining project standards, while adapting, and iterating features based on feedback. Wide knowledge of game engine technical constraints, optimization tools, and implementation processes to determine the best methods and techniques in hitting project targets. Have at least been credited with two or more game title launches, with preferably a minimum of five to six years of industry experience.
Benefits
Competitive Salary.
Flexible Working Hours.
Leave Entitlement and Carry Forward Leaves of 10 days until the 31st March the following year.
24/7 Studio Access alongside all production and leisure areas.
Employee Wellbeing Fund of MYR1,500, refreshed annually.
Employee Health Insurance (AIA), with In-Patient, Out-Patient, and Panel of Doctors Care.
Annual Performance Reviews with Transparent Career Development and Pathways.
Hybrid Work Option (available on request, with discussion, under management discretion).
Relocation Assistance (available on request, with discussion, under management discretion) => only for Malaysian citizens.
Full Compensation on all Formal Overtime events.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’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.
About the role
Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with.
You'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies. Your work will directly impact the quality, safety, and capabilities of our production models.
Note: For this role, we conduct all interviews in Python. This role may require responding to incidents on short-notice, including on weekends.
Responsibilities:
Implement and optimize post-training techniques at scale on frontier models
Conduct research to develop and optimize post-training recipes that directly improve production model quality
Design, build, and run robust, efficient pipelines for model fine-tuning and evaluation
Develop tools to measure and improve model performance across various dimensions
Collaborate with research teams to translate emerging techniques into production-ready implementations
Debug complex issues in training pipelines and model behavior
Help establish best practices for reliable, reproducible model post-training
You may be a good fit if you:
Thrive in controlled chaos and are energised, rather than overwhelmed, when juggling multiple urgent priorities
Adapt quickly to changing priorities
Maintain clarity when debugging complex, time-sensitive issues
Have strong software engineering skills with experience building complex ML systems
Are comfortable working with large-scale distributed systems and high-performance computing
Have experience with training, fine-tuning, or evaluating large language models
Can balance research exploration with engineering rigor and operational reliability
Are adept at analyzing and debugging model training processes
Enjoy collaborating across research and engineering disciplines
Can navigate ambiguity and make progress in fast-moving research environments
Strong candidates may also:
Have experience with LLMs
Have a keen interest in AI safety and responsible deployment
We welcome candidates at various experience levels, with a preference for senior engineers who have hands-on experience with frontier AI systems. However, proficiency in Python, deep learning frameworks, and distributed computing is required for this role.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$350,000
—
$500,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We 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. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your 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.
How we're different
We 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 skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’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.
About the teams
Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Sonnet 4.5 and Opus 4.5. Our work spans several key areas:
Developing systems that enable models to use computers effectively
Advancing code generation through reinforcement learning
Pioneering fundamental RL research for large language models
Building scalable RL infrastructure and training methodologies
Enhancing model reasoning capabilities
We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish.
About the Role
As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation.
Representative projects:
Architect and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters. Help scale our systems to handle increasingly complex research workflows.
Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents which push the state of the art for the next generation of models.
Drive performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation workflows.
Collaborate across research and engineering teams to develop automated testing frameworks, design clean APIs, and build scalable infrastructure that accelerates AI research.
You may be a good fit if you:
Are proficient in Python and async/concurrent programming with frameworks like Trio
Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX)
Have industry experience in machine learning research
Can balance research exploration with engineering implementation
Enjoy pair programming (we love to pair!)
Care about code quality, testing, and performance
Have strong systems design and communication skills
Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems
Strong candidates may have:
Familiarity with LLM architectures and training methodologies
Experience with reinforcement learning techniques and environments
Experience with virtualization and sandboxed code execution environments
Experience with Kubernetes
Experience with distributed systems or high-performance computing
Experience with Rust and/or C++
Strong candidates need not have:
Formal certifications or education credentials
Academic research experience or publication history
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$500,000
—
$850,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We 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. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your 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.
How we're different
We 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 skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: London, UK
About Anthropic
Anthropic’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.
About the role:
You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our
Responsible Scaling Policy
), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team.
Our blog
provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. For the London team, we are opportunistically hiring for the following research areas:
AI Control:
Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios.
Alignment Stress-testing
:
Creating
model organisms of misalignment
to improve our empirical understanding of how alignment failures might arise.
Note: Currently, the team's hub is in San Francisco, so we require all candidates to be based at least 25% in London
and
travel to San Francisco occasionally. Additionally, we are prioritizing growing our San Francisco teams, so you may not hear back on your application to the London team unless we see an unusually strong fit. For this role, we conduct all interviews in Python.
Representative Projects:
Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions.
Run multi-agent reinforcement learning experiments to test out techniques like
AI Debate
.
Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks.
Write scripts and prompts to efficiently produce evaluation questions to test models’ reasoning abilities in safety-relevant contexts.
Contribute ideas, figures, and writing to research papers, blog posts, and talks.
Run experiments that feed into key AI safety efforts at Anthropic, like the design and implementation of our
Responsible Scaling Policy
.
You may be a good fit if you:
Have significant software, ML, or research engineering experience
Have some experience contributing to empirical AI research projects
Have some familiarity with technical AI safety research
Prefer fast-moving collaborative projects to extensive solo efforts
Pick up slack, even if it goes outside your job description
Care about the impacts of AI
Strong candidates may also:
Have experience authoring research papers in machine learning, NLP, or AI safety
Have experience with LLMs
Have experience with reinforcement learning
Have experience with Kubernetes clusters and complex shared codebases
Candidates need not have:
100% of the skills needed to perform the job
Formal certifications or education credentials
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
£260,000
—
£370,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We 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. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your 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.
How we're different
We 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 skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Belgrade; London; Berlin
Workplace: Hybrid
Perplexity is seeking an experienced Machine Learning Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking.
Responsibilities
- Relentlessly push search quality forward—through models, data, tools, or any other leverage available
- Architect and build core components of our search platform and model stack
- Train and evaluate retrieval, ranking and classification models, including LLMs
- Deploy models - from boosting to LLMs - in a scalable and performant way
- Build and optimize RAG pipelines for grounding and answer generation
- Collaborate with Data, AI, Infrastructure and Product teams to ensure fast and high quality delivery
Qualifications
- Deep understanding of search and retrieval systems, including quality evaluation principles and metrics
- Proven track record with large-scale search or recommender systems
- Self-driven, with a strong sense of ownership and execution
- Minimum of 5 years of working on search or recsys-related projects
Location: New York City, NY | Seattle, WA; San Francisco, CA | New York City, NY | Seattle, WA; Washington, DC
About Anthropic
Anthropic’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.
About the role
We're seeking an exceptional engineer to join Anthropic's Detection Platform team to build and scale our next-generation security analytics infrastructure. In this role, you'll architect and implement data pipelines that process massive amounts of security telemetry, develop ML-powered detection systems, and create innovative solutions that leverage Claude to transform security operations.
Responsibilities:
Build AI-powered platform responsible for all aspects of D&R capabilities from detection development to incident response
Design and implement scalable data pipelines for ingesting and processing security telemetry across our rapidly growing infrastructure
Architect solutions for storing and efficiently querying large volumes of security-relevant data
Create rapid prototypes and proof-of-concepts for new security tooling and analytics capabilities
Work closely with security and infrastructure teams to understand requirements and deliver solutions
Mentor engineers and contribute to hiring and growth of the Security team
Participate in on-call shifts
You may be a good fit if you:
7+ years of experience in software engineering with a focus on security, infrastructure and/or data pipelines
Track record of building and maintaining internal developer tools or security platforms
Strong understanding of data processing pipelines and experience working with large-scale logging systems
Experience with:
Test-driven software development and/or CI/CD (plus for direct experience with Detection-as-code workflows)
Infrastructure-as-code (Terraform, CloudFormation)
Query optimization for large datasets
Experience with building stable and scalable services on cloud infrastructure and serverless architectures
Ability to write maintainable and secure code in Python
Experience working with security teams and translating requirements into technical solutions
Ability to lead technical projects with minimal guidance
Track record of driving engineering excellence through high standards, constructive code reviews, and mentorship
Proven ability to lead cross-functional security initiatives and navigate complex organizational dynamics
Outstanding communication skills, translating technical concepts effectively across all organizational levels
Demonstrated success in bringing clarity and ownership to ambiguous technical problems
Strong systems thinking with ability to identify and mitigate risks in complex environments
Strong candidates may also have experience with:
Experience building security tooling from the ground up
Background in implementing security monitoring solutions (SIEM, log aggregation, EDR)
Background in detection engineering or security operations
Experience with:
SOAR platform/automation development
Data lake / Database architecture
API design and internal platform creation
Track record of applying ML/AI to security problems
Experience scaling security operations in a high-growth environment
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We 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. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your 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.
How we're different
We 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 skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Romania
Workplace: remote
Job Reference: #LI-JG1
OVERVIEW
Are you tech-savvy? Have a passion for quality? We are looking for Data Raters to work on projects aimed at advancing AI technologies. Join us for a unique chance to kickstart your career in the AI field!
This project is an excellent starting point for entry-level candidates. We offer comprehensive learning support, making it a great opportunity to gain experience in data annotation and data rating within the AI field—an industry currently in high demand for skilled specialists, especially those with expertise in localization and linguistic proficiency.
MAIN DUTIES:
*Follow guidelines to check the quality of filters and options in desktop and mobile views.
*Check if filters and options help customers make decisions or suggest good alternative products.
*Ensure filters and options match what customers are looking for based on their queries.
*Determine if the filters and options are relevant and reflect the customer’s preferences.
*Review your assessments for accuracy and consistency
Project Details
Start Date: Immediately after completing the qualification process.
Duration: Ongoing
Schedule: 5 -15 hours weekly; set your own schedule.
This is a freelance opportunity; the workload is based on project needs. Weekly hours may vary.
Employment Type: Freelance/Independent Contract
Location: Remote
Language: Swedish
Pay Rate: $10/hour - Based on tasks completed
By applying, you'll become part of our Freelance community, opening doors to a range of projects tailored to your skills and availability, particularly highlighting localization and linguistic expertise.
Payment rates for future projects may vary, ensuring fair compensation that reflects your location, industry, and skill set.
Joining us means contributing to our current project and becoming part of our dynamic network.
This is a unique chance to enhance global user experiences and apply your language skills in meaningful ways.
Requirements
Fully Proficient in Swedish
Proficient in English
Web-savvy and able to work in a fast-paced environment
Preferably, prior experience or familiarity with Relevance tasks and expertise in e-commerce searches/websites.
Excellent online research skills
Attention to detail
Ability to conduct thorough research within specified time constraints and effectively managing short throughputs.
Reliable computer system and internet connection
Must sign a Non-Disclosure Agreement to protect client confidentiality
Completion of a language assessment, learning module, and a mandatory quality test is required prior to starting work.
When you join Welocalize, you have the opportunity to bring your career to the next level:
... receive steady volume of work and long-term partnership {where this applies}
... professional development: work on exciting projects that will empower you keep learning and growing
... work with multicultural, international team with a great variety of documents and content types
... 24-hour 6-day a week support from our Community team.
If this opportunity sounds appealing to you, apply below.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
Location: Riga, Latvia
Workplace: remote
OVERVIEW
Are you tech-savvy? Have a passion for quality? We are looking for Data Raters to work on projects aimed at advancing AI technologies. Join us for a unique chance to kickstart your career in the AI field!
This project is an excellent starting point for entry-level candidates. We offer comprehensive learning support, making it a great opportunity to gain experience in data annotation and data rating within the AI field—an industry currently in high demand for skilled specialists, especially those with expertise in localization and linguistic proficiency.
MAIN DUTIES:
*Follow guidelines to check the quality of filters and options in desktop and mobile views.
*Check if filters and options help customers make decisions or suggest good alternative products.
*Ensure filters and options match what customers are looking for based on their queries.
*Determine if the filters and options are relevant and reflect the customer’s preferences.
*Review your assessments for accuracy and consistency
Project Details
Start Date: Immediately after completing the qualification process.
Duration: Ongoing
Schedule: 5 -15 hours weekly; set your own schedule.
This is a freelance opportunity; the workload is based on project needs. Weekly hours may vary.
Employment Type: Freelance/Independent Contract
Location: Remote
Language: Swedish
Pay Rate: $10/hour - Based on tasks completed
By applying, you'll become part of our Freelance community, opening doors to a range of projects tailored to your skills and availability, particularly highlighting localization and linguistic expertise.
Payment rates for future projects may vary, ensuring fair compensation that reflects your location, industry, and skill set.
Joining us means contributing to our current project and becoming part of our dynamic network.
This is a unique chance to enhance global user experiences and apply your language skills in meaningful ways.
Requirements
Fully Proficient in Swedish
Proficient in English
Web-savvy and able to work in a fast-paced environment
Preferably, prior experience or familiarity with Relevance tasks and expertise in e-commerce searches/websites.
Excellent online research skills
Attention to detail
Ability to conduct thorough research within specified time constraints and effectively managing short throughputs.
Reliable computer system and internet connection
Must sign a Non-Disclosure Agreement to protect client confidentiality
Completion of a language assessment, training, and a mandatory quality test is required prior to starting work.
When you join Welocalize, you have the opportunity to bring your career to the next level:
... receive steady volume of work and long-term partnership {where this applies}
... professional development: work on exciting projects that will empower you keep learning and growing
... work with multicultural, international team with a great variety of documents and content types
... 24-hour 6-day a week support from our Community team.
If this opportunity sounds appealing to you, apply below.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
Location: Estonia
Workplace: remote
OVERVIEW
Are you tech-savvy? Have a passion for quality? We are looking for Data Raters to work on projects aimed at advancing AI technologies. Join us for a unique chance to kickstart your career in the AI field!
This project is an excellent starting point for entry-level candidates. We offer comprehensive learning support, making it a great opportunity to gain experience in data annotation and data rating within the AI field—an industry currently in high demand for skilled specialists, especially those with expertise in localization and linguistic proficiency.
MAIN DUTIES:
*Follow guidelines to check the quality of filters and options in desktop and mobile views.
*Check if filters and options help customers make decisions or suggest good alternative products.
*Ensure filters and options match what customers are looking for based on their queries.
*Determine if the filters and options are relevant and reflect the customer’s preferences.
*Review your assessments for accuracy and consistency
Project Details
Start Date: Immediately after completing the qualification process.
Duration: Ongoing
Schedule: 5 -15 hours weekly; set your own schedule.
This is a freelance opportunity; the workload is based on project needs. Weekly hours may vary.
Employment Type: Freelance/Independent Contract
Location: Remote
Language: Swedish
Pay Rate: $10/hour - Based on tasks completed
By applying, you'll become part of our Freelance community, opening doors to a range of projects tailored to your skills and availability, particularly highlighting localization and linguistic expertise.
Payment rates for future projects may vary, ensuring fair compensation that reflects your location, industry, and skill set.
Joining us means contributing to our current project and becoming part of our dynamic network.
This is a unique chance to enhance global user experiences and apply your language skills in meaningful ways.
Requirements
Fully Proficient in Swedish
Proficient in English
Web-savvy and able to work in a fast-paced environment
Preferably, prior experience or familiarity with Relevance tasks and expertise in e-commerce searches/websites.
Excellent online research skills
Attention to detail
Ability to conduct thorough research within specified time constraints and effectively managing short throughputs.
Reliable computer system and internet connection
Must sign a Non-Disclosure Agreement to protect client confidentiality
Completion of a language assessment, training, and a mandatory quality test is required prior to starting work.
When you join Welocalize, you have the opportunity to bring your career to the next level:
... receive steady volume of work and long-term partnership {where this applies}
... professional development: work on exciting projects that will empower you keep learning and growing
... work with multicultural, international team with a great variety of documents and content types
... 24-hour 6-day a week support from our Community team.
If this opportunity sounds appealing to you, apply below.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
Location: Poland
Workplace: remote
OVERVIEW
Are you tech-savvy? Have a passion for quality? We are looking for Data Raters to work on projects aimed at advancing AI technologies. Join us for a unique chance to kickstart your career in the AI field!
This project is an excellent starting point for entry-level candidates. We offer comprehensive learning support, making it a great opportunity to gain experience in data annotation and data rating within the AI field—an industry currently in high demand for skilled specialists, especially those with expertise in localization and linguistic proficiency.
MAIN DUTIES:
*Follow guidelines to check the quality of filters and options in desktop and mobile views.
*Check if filters and options help customers make decisions or suggest good alternative products.
*Ensure filters and options match what customers are looking for based on their queries.
*Determine if the filters and options are relevant and reflect the customer’s preferences.
*Review your assessments for accuracy and consistency
Project Details
Start Date: Immediately after completing the qualification process.
Duration: Ongoing
Schedule: 5 -15 hours weekly; set your own schedule.
This is a freelance opportunity; the workload is based on project needs. Weekly hours may vary.
Employment Type: Freelance/Independent Contract
Location: Remote
Language: Swedish
Pay Rate: $10/hour - Based on tasks completed
By applying, you'll become part of our Freelance community, opening doors to a range of projects tailored to your skills and availability, particularly highlighting localization and linguistic expertise.
Payment rates for future projects may vary, ensuring fair compensation that reflects your location, industry, and skill set.
Joining us means contributing to our current project and becoming part of our dynamic network.
This is a unique chance to enhance global user experiences and apply your language skills in meaningful ways.
Requirements
Fully Proficient in Swedish
Proficient in English
Web-savvy and able to work in a fast-paced environment
Preferably, prior experience or familiarity with Relevance tasks and expertise in e-commerce searches/websites.
Excellent online research skills
Attention to detail
Ability to conduct thorough research within specified time constraints and effectively managing short throughputs.
Reliable computer system and internet connection
Must sign a Non-Disclosure Agreement to protect client confidentiality
Completion of a language assessment, learning module, and a mandatory quality test is required prior to starting work.
When you join Welocalize, you have the opportunity to bring your career to the next level:
... receive steady volume of work and long-term partnership {where this applies}
... professional development: work on exciting projects that will empower you keep learning and growing
... work with multicultural, international team with a great variety of documents and content types
... 24-hour 6-day a week support from our Community team.
If this opportunity sounds appealing to you, apply below.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
Location: London, Remote
Workplace: remote
360Learning is looking for a Business Development Representative (BDR) to join our UK team. Your role will consist of generating opportunities from 360Learning top priority, highest potential accounts. As the owner of these accounts, you will be in charge of creating business opportunities for UK Account Executives through inbound leads qualification. You will leverage bleeding-edge Sales Development Techniques & tools to engage prospects.
This position will play a key role in building a strong sales pipeline. More specifically, you will be in charge of your territory to qualify inbound leads and pitch our product to interested prospects. Throughout your conversations, you will detect customer pain points, understand their context, and how we can help. You will evangelize collaborative learning in the market, and present the 360Learning value proposition.
Working in close collaboration with your coach, marketing operations, demand gen, and sales, you will benefit from thorough onboarding and continuous learning & coaching opportunities as you grow.
Within 1 month, you will…
Finish onboarding and begin your core role as a BDR
Master the pitch and qualification methodology
Start qualifying leads and create your first opportunities for the AEs
Within 3 months, you will...
Fully master our tool stack and ramp up
Act as a partner to the Account Executives
Qualify your first SQL opportunities
Master how to prioritize your inbound leads pipeline and forecast your performance
Polish your qualification method to an advanced level
Master our tool stack SalesLoft, LinkedIn’s Sales Navigator, Gong, etc.
Within 6 months, you will…
Be fully ramped on inbound methodologies
Achieve and exceed monthly quotas Sales Qualified Leads
Partner with Marketing to improve lead quality and get creative by bringing innovative lead generation ideas to weekly meetings
Research trends and best practices for creating interest and engagement
Within 12 months, you will:
Contribute as a subject-matter expert on the 360Learning platform and share your knowledge with the rest of the organization
Be involved in the onboarding of new members of the team
The Skill Set
Previous experience of at least 12 months hitting targets as a BDR or SDR in a B2B SaaS environment
Previous experience in inbound lead generation and/or outbound
Preferred but not mandatory: experience using Salesforce, Salesloft, and Gong
Strong written and verbal communication skills
Active listening skills, ability to uncover customer needs and adaptability (fast-paced environment)
You are fluent in English (level B2 or equivalent)
You show enthusiasm for our culture explained here:
http://bit.ly/Convexity_360L
What We Offer
Compensation:
Package includes base salary, a variable component and equity 📈
Benefits:
Health Benefits - Medical, Vision, Dental, Life, Accidental Death & Personal Loss, and Disability coverage, Employee Care Line.
Balance:
Flexible hours, Total work from home possible anywhere in the UK 🏠
Diversity, Equity, and Inclusion
: We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝
Corporate Social Responsibility
: Review our CSR Charter:
360learning.com/blog/corporate-social-responsibility-charter
🌎🌏🌍
Culture:
A framework that will help you make an impact - envision our way of working and our Convexity Culture:
https://bit.ly/Convexity_360L
& find out more about the teams, product and processes
https://bit.ly/42H1ggC
🚀👩🏻💻🏆
Interview Process
Phone Screen with our Talent Acquisition Manager
Discovery Meeting with our Head of Business Development
Case Study with our Head of Business Development & VP of Enterprise Sales
Clarification Meeting with our Account Executive/Key Account Manager team
Culture Fit Meeting with our CRO
Offer!
⇾ Get ready using our Knowledge Base:
https://bit.ly/42H1ggC
Who We Are
360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place.
360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA.
Learning Includes Everyone.
In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!
Location: Home based - Worldwide
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder-led, profitable, and growing.
Canonical is a remote-first global company that publishes Ubuntu and open-source enterprise solutions for cloud, developer, IoT and AI. Ubuntu is the fastest growing Linux distribution and ranks as the number #1 OS in the cloud.
In partnership with Google, Amazon, IBM and Microsoft, Canonical helps companies become more agile, productive and adopt new technologies faster. Examples of customer success include AI, Blockchain, IoT, Advanced Robotics and self-driving cars, where Ubuntu is the preferred development platform.
The role of a Business Development Representative at Canonical
Canonical is profitable and growing. We consider our sales development organization to be the best technology sales academy in the market, and as such, we select exceptional and ambitious candidates to join our team. You will enjoy this role if you are organized, persistent, charismatic and hard-working. You will need to be interested in tech and its business implications. In this role, you will collaborate with a regional sales and marketing team, and your primary objective will be to find customer projects that fit our product lines and spread the good name of Canonical across multiple different industries and geographies.
Click
HERE
to watch our SDR team discuss their role in Canonical
The role entails
Execute outbound sales & marketing campaigns
Research information about prospective customers and market trends
Generate high-quality leads for Senior Sellers to fuel a multi-million dollar pipeline
Own and close SMB opportunities within your designated territory
Collaborate across multiple teams and senior stakeholders to drive results
Help define the processes and policies for the team
Travel to events and conferences worldwide, presenting on booths and driving face-to-face marketing and sales opportunities
What we are looking for in you
Demonstrated success in SDR or outbound sales, with a track record of exceeding annual quotas and consistently driving qualified pipeline growth
Experience navigating prospective accounts from and into a senior executive level to identify new customer opportunities
Experience in enterprise software or technology sales
Exceptional academic track record from both high school and university
Passion for business and technology
Commitment to continuous learning and improvement - curious, flexible, scientific
Creative problem solving and cross team collaboration
Professional written and spoken English with excellent presentation skills
Verbal and written communication and negotiation skills
Result driven with an over-achiever spirit
Persistence & perseverance
Growth mindset - people from our team develop into all departments within the sales organization (Channel, IoT, Enterprise Sales, etc)
Ability to travel internationally twice a year for company events up to two weeks long
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Team Member Assistance Program & Wellness Platform
Opportunity to travel to new locations to meet colleagues
Priority Pass and travel upgrades for long-haul company events
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
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