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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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: Norway
Workplace: remote
OVERVIEW
Are you passionate about language, detail-oriented, and skilled in identifying nuances in meaning and tone? Join our global network of linguistic professionals and contribute to a high-impact language project that shapes how people interact with AI-powered content worldwide. We’re looking for experienced Linguist Reviewers to help refine and elevate language data by evaluating and enhancing synonyms, word groupings, and phrasing.
MAIN DUTIES
- Evaluate lists of synonyms and related phrases for accuracy, appropriateness, and naturalness.
- Identify linguistic errors, awkward phrasing, or incorrect usage and suggest corrections.
- Generate improved or alternative synonyms that better match intended meanings.
- Provide insightful linguistic feedback to improve language quality and consistency.
- Collaborate with project managers and fellow linguists to meet quality standards and deadlines.
PROJECT DETAILS
Start Date: Immediately after completing the training process
Employment Type: Freelance/Independent Contract
Location: Remote
Language: Norwegian
Pay Rate: $35/hour
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
Background in linguistics, translation, copyediting, or related fields
Proficient in English
Strong knowledge of synonyms, semantics, and contextual meaning
Excellent attention to detail and ability to follow linguistic guidelines
Previous experience with linguistic QA or content reviewing is a plus
Reliable internet connection and ability to work independently
When you join Welocalize, you have the opportunity to bring your career to the next level:
- receive steady volume of work and a long-term partnership
- professional development: work on exciting projects that will empower you keep learning and growing
- work with multicultural and 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 sound 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: 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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: ikoyi, Nigeria
About Renmoney:
Renmoney is a leading Nigerian fintech company dedicated to transforming financial inclusion through innovative lending, savings, and banking solutions. Powered by cutting-edge technology and data-driven insights, we craft exceptional user experiences that empower millions of customers to achieve financial freedom.
Role Overview
:
As a Senior Product Designer at Renmoney, you’ll spearhead the design strategy and execution for our digital financial products, including mobile apps, web platforms, and internal tools. Collaborating with Product Managers, Engineers, and key stakeholders, you’ll deliver intuitive, impactful designs that boost customer satisfaction, drive product adoption (e.g., achieving 20%+ growth in user engagement), and fuel business success.
Key Responsibilities:
Own the end-to-end user experience and interface design for Renmoney’s digital products and front-end channels delivering solutions that increase user acquisition, engagement and retention
Partner with Product Managers and Engineers to transform business goals into user-centric designs, consistently shipping high-impact product features.
Conduct user research, usability testing, and iterate based on insights to refine designs, targeting a 90%+ user satisfaction score.
Create wireframes, interactive prototypes, and pixel-perfect visual designs using tools like Figma.
Maintain and evolve our design system to ensure consistency across platforms.
Advocate for design thinking and user-first principles across the organization.
Mentor junior designers, helping them grow into confident contributors.
Requirements
Bachelor’s degree or equivalent in Design, Human-Computer Interaction (HCI), or a related field.
5+ years of professional experience in product design or UX/UI, ideally in fintech, banking, or tech-driven industries.
A robust portfolio showcasing digital/mobile design projects with measurable outcomes (e.g., improved conversion rates or user engagement).
Proficiency with design tools like Figma, Adobe XD, or Sketch.
Proven experience thriving in agile, cross-functional teams.
Exceptional communication skills to articulate design rationale to diverse stakeholders.
Skills & Competencies:
Expertise in UX/UI principles, user research, and scalable design systems.
Sharp eye for detail, paired with creative and analytical problem-solving.
Ability to juggle user needs, business objectives, and technical feasibility with finesse.
Strong leadership and mentorship skills to elevate team performance.
Benefits
Shape the future of fintech in Nigeria with products that reach millions, backed by a competitive salary plus performance bonuses and health benefits.
Thrive in a fast paced work environment with flexibility, collaboration, and access to cutting-edge tools.
Join a diverse, inclusive team where all voices are valued, and professional growth is a priority.
Our Commitment:
At Renmoney, we’re building a workplace that reflects the diversity of the communities we serve. We welcome applicants of all backgrounds and are committed to fostering an equitable, inclusive environment.
If you’re passionate about designing digital experiences that transform lives, apply today!
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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: Dubai, United Arab Emirates
About Müller's Solutions:
Müller's Solutions is a premier SAP consulting firm that specializes in providing comprehensive SAP solutions to enhance business operations. We pride ourselves on our ability to deliver tailored solutions that drive efficiency and innovation for our clients across various industries.
Job Overview:
We are looking for an experienced SAP ECP (Employee Central Payroll) Consultant for a 3-month contract, with the possibility of extension. In this role, you will be key to the implementation, configuration, and support of SAP Employee Central Payroll solutions for our clients. You will engage directly with client teams to understand their requirements and help optimize their payroll processes.
Requirements
Requirements:
Bachelor's degree in Human Resources, Business Administration, Information Technology, or a related field.
Minimum of 4 years of experience working with SAP Employee Central or Employee Central Payroll modules.
Strong knowledge of payroll processes, configurations, and integration with other SAP modules.
Proficiency in SAP ECP functionality, including time and attendance, configuration, and reporting.
Excellent analytical skills with attention to detail.
Effective communication skills for interacting with clients and team members.
Ability to work under pressure and meet tight deadlines.
Experience with client-facing roles and project management is preferred.
Immediate availability to start the contract.
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: Bulgaria
Workplace: remote
OVERVIEW
Are you tech-savvy? Have a passion for quality? We are looking for a Swedish-speaking Data Rater, based in Bulgaria, to work on projects to advance 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 project-specific guidelines to conduct research on e-commerce data.
- Evaluate the usefulness of product filters and results based on the research.
- Rate the e-commerce data according to the guidelines provided.
Project Details
Start Date: Immediately after completing the qualification process
Duration: Ongoing
Schedule: 20 hours per week
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
Attention to detail
Ability to conduct thorough research within specified time constraints and effectively manage short throughputs.
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: Beijing, China
Workplace: onsite
ABOUT YOU
We are seeking an experienced and dynamic Creator Success Manager (China) to lead and expand our influencer marketing strategy in the region. This role is responsible for identifying, building, and maintaining relationships with key influencers, content creators, and brand ambassadors across multiple content platforms. The ideal candidate will have a strong understanding of the China digital landscape, social media trends, and influencer partnerships, as well as a proven track record of executing successful influencer campaigns.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities
Establish and manage a network of top-tier content creators and social media influencers.
Develop and manage relationships with creators and influencers to ensure long-term partnerships.
Negotiate and manage contracts, fees, and expectations with creators and influencers.
Collaborate with marketing, product, and PR teams to develop and execute campaigns that drive engagement and brand awareness.
Liaise with internal Business Development, Legal, Design, Product, and Account Management teams on creator and influencer partnership strategies and opportunities.
Keep up-to-date with the latest trends on social media and in the influencer community to provide ongoing recommendations for future campaigns.
Work with brand marketing on consumer-facing influencer collateral and develop action plans to address the needs of our influencer networks.
Define performance goals, create rosters, track conversions, and measure influencer performance success.
Responsible for ongoing communication with existing influencer partners while actively identifying, sourcing, and negotiating new influencer partnerships and content opportunities.
Monitor and adjust partnership strategies in accordance with best practices and relevant trends.
Develop and execute the
influencer marketing strategy
in China to drive brand awareness, engagement, conversions, and creator user acquisition
Track, analyze, and report
key performance metrics (KPIs)
for influencer campaigns, providing insights and recommendations for optimization.
Stay up to date on influencer marketing trends, competitor activities, and regional nuances in content consumption and engagement.
Manage the influencer marketing budget for China, ensuring efficient allocation of resources.
Qualifications & Skills
5+ years of experience
in an influencer marketing role with extensive experience working directly with influencers and streamers.
Passion for gaming
and experience identifying partnerships and best practices for gaming influencers at a global level across streaming and content platforms.
Direct experience with gaming publishers, products, and expertise in mobile and video game established and rising influencers.
Strong knowledge of gamers and influencers across
Twitch, YouTube, Facebook, Instagram, Twitter, and TikTok
.
Strong interpersonal skills with the ability to build relationships and work effectively with a diverse range of people.
Excellent communication, writing, presentation, and organizational skills.
Ability to manage multiple projects simultaneously and prioritize demands.
Data-driven with experience setting clear goals and KPIs.
Experience working with and/or managing influencer marketing agencies from the RFP process through execution and wrap report.
Fluent in
Chinese and English
Ability to work in a fast-paced environment, manage multiple projects, and meet tight deadlines.
Bachelor's Degree.
Preferred Qualifications:
Previous experience in
e-commerce, gaming, or technology
sectors.
Understanding of
paid influencer collaborations
and how to integrate them into organic strategies.
Experience with affiliate marketing, influencer gifting programs, and community-driven content
Why Join Us?
● Opportunity to work with a fast-growing global brand.
● Competitive salary and performance-based incentives.
● Flexible work environment (remote, hybrid, or in-office options).
● Collaborative and innovative team culture.
● Career growth opportunities in a dynamic and expanding market.
If you’re passionate about influencer marketing and gaming, and want to make an impact in the China region, we’d love to hear from you! Apply now and be part of our journey.
Job Description
This job description is intended to outline the general nature and level of work currently performed and is not an exhaustive list of all duties, responsibilities, or qualifications required.
Privacy Notice & Data Processing Consent
By submitting your application and uploading your resume/CV, you acknowledge and agree that Xsolla will process your personal information (including but not limited to your name, contact details, work experience, and educational background) for the purpose of recruitment, candidate evaluation, and internal record-keeping.
In accordance with the Personal Information Protection Law of the People's Republic of China (PIPL):
Purpose Limitation: Your data will only be used for current and future recruitment considerations within Xsolla.
Sensitivity: We will handle your personal information with a high duty of care.
Your Rights: You have the right to access, correct, or delete your personal information, and to withdraw your consent at any time by contacting us.
If your application proceeds past the final interview stage, we may conduct a background check, subject to applicable laws and regulations, only after obtaining your separate written consent. Any such check will be strictly limited to information directly relevant to the employment relationship (e.g., educational background, employment history) and will comply fully with the PIPL. Your personal information will be used solely for recruitment and human resource management purposes, and we will implement rigorous security measures to protect your data.
Xsolla takes your privacy rights seriously. We are committed to protecting your personal information in accordance with Chinese data protection laws and will not sell, unlawfully provide, or disclose any personal data received during the hiring process without your explicit authorization. As a data processor, we uphold our obligations to safeguard your personal data and respect your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
Location: Limassol
Workplace: hybrid
The Role:
Are you a detail-oriented, highly organised, and people-centric HR professional who thrives in a fast-paced, international environment? Do you have a passion for streamlining HR processes, improving efficiency, and ensuring seamless HR operations? If so, we want YOU to join our dynamic People & Culture team at XM!
Why Join Us?
At XM, our people are our greatest asset. Our People & Culture team plays a pivotal role in ensuring a positive, engaging, and efficient work experience for all employees. As we continue to scale, we’re looking for a dedicated and detail-driven HR professional to help us enhance and optimise our People & Culture operations and processes.
This is a fantastic opportunity for an HR operations expert who enjoys working with HR systems, data, and processes while contributing to a people-first culture. You will be at the heart of our People & Culture operations, ensuring efficiency, accuracy, and compliance while supporting the broader People & Culture strategy.
The main responsibilities of the position include:
Your Mission:
🎯
P&C Operations & Administration Excellence
Manage and optimise P&C operational processes, ensuring efficiency, accuracy, and compliance with internal policies and labour regulations
Provide comprehensive P&C administrative support, including contract management, employee records, P&C policies, and compliance documentation
Play a key role in P&C process automation and continuous improvement, identifying opportunities to enhance workflows
🎯
Exelsys HCM Administration & P&C Systems Management
Administer and manage Exelsys HCM, ensuring the system is effectively maintained and utilised to support P&C processes
Act as the go-to expert for P&C systems, providing troubleshooting, updates, and reporting support to ensure data accuracy and usability
Work closely with internal teams to streamline P&C system functionalities and enhance employee experience
🎯
Employee Lifecycle & Data Management
Support the end-to-end employee lifecycle processes, including onboarding, probation reviews, contract updates, and offboarding procedures
Ensure accurate and up-to-date employee records in Exelsys HCM and other P&C systems, maintaining data integrity and compliance
Generate and analyse P&C reports, metrics, and dashboards to support decision-making and strategic initiatives
🎯
Payroll & Benefits Support
Assist with monthly payroll preparation, ensuring accurate and timely processing of employee data
Coordinate employee benefits scheme, responding to employee queries and ensuring smooth execution of benefit programs
Collaborate with finance and payroll teams to ensure accuracy of any payroll related data
🎯
P&C Compliance & Policies
Ensure all P&C policies, procedures, and documentation are compliant with local labour laws and international best practices
Support internal audits and compliance checks by maintaining accurate and well-organised P&C records.
Keep up to date with employment regulations and industry best practices, providing recommendations for policy enhancements
Main requirements:
Degree in Human Resources, Business Administration, or a related field. A relevant HR certification (e.g., CIPD, or similar) will be considered a plus
2-4 years of experience in HR operations, HR administration, or a similar role within a fast-paced, multinational organisation
Strong experience in HR systems management, with hands-on experience administering Exelsys HCM being a strong plus
Solid understanding of employment law and labour regulations, with the ability to ensure compliance in HR processes
Excellent organisational and problem-solving skills, with the ability to manage multiple HR tasks efficiently
Detail-oriented with a strong sense of accuracy, confidentiality, and compliance in handling HR data
Ability to interpret HR data, generate reports, and provide meaningful insights to support decision-making
Strong communication and interpersonal skills – a team player who enjoys collaborating with diverse teams
Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint, Outlook) and other HR tools
Ready to Be the Driving Force Behind HR Operations? Apply Today! 🚀
Benefit from:
What We Offer:
🌟 Attractive remuneration package plus performance related reward
🌟 Private health insurance
🌟 Corporate pension fund
🌟 Continuous personal and professional international development opportunities
🌟 A structured and efficient P&C environment where you can make a real impact
🌟 The opportunity to work with advanced P&C technology and systems in a multinational setting
🌟 A collaborative, people-first culture that values innovation and operational excellence
The Hiring Experience: What Awaits You
Let’s Connect – Intro Chat with Talent Acquisition
Deep Dive – First Interview with Your Future Team
Test Your Edge – Personality Assessment
Final Connection – Final Interview
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: Dublin, Ireland
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.
We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test.
We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy.
What will I be doing?
Play an active role in hiring, mentoring and career development of other engineers
Raise the bar for technical standards, performance, reliability, and operational excellence
Identify areas where ML can create value for our customers
Identify the right ML framing of product problems - Working with teammates and Product and Design stakeholders
Conduct exploratory data analysis and research - Deeply understand the problem area
Research and identify the right algorithms and tools - Being pragmatic, but innovating right to the cutting-edge when needed
Perform offline evaluation to gather evidence an algorithm will work
Work with engineers to bring prototypes to production
Plan, measure & socialize learnings to inform iteration
Partner deeply with the rest of team, and others, to build excellent ML products
What skills might I need?
5-8 years applied ML experience
Previous background in a senior/staff role (data science, software development or academic)
Significant, demonstrated impact that your work has had on the product and/or the teams
Strong programming skills
Experience as the primary technical leader for a team
Strong communication skills, both within engineering teams and across disciplines.
Comfort with ambiguity
Typically have advanced education in ML or related field (e.g. MSc)
Scientific thinking skills
Bonus skills & attributes
Track record shipping ML products
PhD or other experience in a research environment
Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering
Strong stats or math background
Visualization, data skills, SQL, matplotlib, etc.
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Remote Ireland
What We Do:
Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact.
Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection.
Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other.
Reports to: Manager, Sales Development - EMEA
Location: Remote Ireland
Compensation Range: €54,000 base with on-target earnings at €72,000 plus equity
What You'll Do:
Huntress is looking for a talented and passionate Sales Development Representative (SDR) to help fuel our continued growth. In this role, you will open doors for the Account Executive team by building relationships with managed service providers (MSPs) and managed security service providers (MSSPs), earning trust quickly, and turning early conversations into qualified meetings that move the pipeline forward. You are outcome-obsessed in how you work, with a clear eye on the right next step, the right partner fit, and the follow-through it takes to create real pipeline impact.
In the daily rhythm of prospecting into the MSP and MSSP space, you bring warrior spirit. You stay steady through rejection, keep your standards high, and come back sharper on the next call. You also give a sh*t about the people on the other end of the phone, leading with honesty, curiosity, and respect as you help prospective partners understand the value Huntress can deliver to their business and their customers.
Responsibilities:
Establish rapport and trust with managed service provider (MSP) and managed security service provider (MSSP) prospects via phone, email, and LinkedIn to understand their business and their fit with Huntress.
Set qualified meetings within our ideal customer profile by following best practices and standard processes.
Generate and qualify net-new accounts and work inbound opportunities to create a pipeline for the Account Executive team.
Use clear, value-driven messaging to build interest in Huntress and answer prospect questions with honesty, professionalism, and empathy.
Research accounts, document prospecting activity, and qualification notes in CRM, and maintain strong data hygiene.
Use AI tools with good judgment to support account research, call prep, and message drafting in your day-to-day work.
Keep improving your cold calling, messaging, and pipeline management skills through training, feedback, and repetition.
What You Bring to the Team:
8+ months of experience in a quota-carrying outbound B2B SaaS sales role.
Experience with outbound cold calling.
Strong time management and the ability to prioritize competing tasks.
Comfort working across CRM, prospecting tools, and multiple systems at the same time.
Attention to detail when taking notes, setting meetings, and following the process.
A coachable mindset and a genuine interest in continuing to grow your sales and cybersecurity knowledge.
Curiosity about AI and the judgment to use it in practical ways that help you work faster and smarter in your day-to-day.
What We Offer:
100% remote work environment - since our founding in 2015
New starter home office set up allowance (€480)
Generous personal leave entitlements
Digital monthly reimbursement (€111)
Travel to the US 1-2 times/year for various company events
Pension
Access to the BetterUp platform for coaching, personal, and professional growth
Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.
We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.
We do discriminate against hackers who try to exploit small businesses.
Accommodations:
If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to
accommodations@huntresslabs.com
. Please note that non-accommodation requests to this inbox will not receive a response.
Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our
Candidate Privacy Notice
for more details on our practices and your data privacy rights.
Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.
We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.
We do discriminate against hackers who try to exploit businesses of all sizes.
Accommodations:
If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to
accommodations@huntresslabs.com
. Please note that non-accommodation requests to this inbox will not receive a response.
Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our
Candidate Privacy Notice
for more details on our practices and your data privacy rights.
#BI-Remote
Location: Remote UK
What We Do:
Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact.
Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection.
Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other.
Reports to: Manager, Sales Development - EMEA
Location: Remote UK
Compensation Range: £47,250 base with on target earnings at £63,000 plus equity
What You'll Do:
Huntress is looking for a talented and passionate Sales Development Representative (SDR) to help fuel our continued growth. In this role, you will open doors for the Account Executive team by building relationships with managed service providers (MSPs) and managed security service providers (MSSPs), earning trust quickly, and turning early conversations into qualified meetings that move the pipeline forward. You are outcome-obsessed in how you work, with a clear eye on the right next step, the right partner fit, and the follow-through it takes to create real pipeline impact.
In the daily rhythm of prospecting into the MSP and MSSP space, you bring warrior spirit. You stay steady through rejection, keep your standards high, and come back sharper on the next call. You also give a sh*t about the people on the other end of the phone, leading with honesty, curiosity, and respect as you help prospective partners understand the value Huntress can deliver to their business and their customers.
Responsibilities:
Establish rapport and trust with managed service provider (MSP) and managed security service provider (MSSP) prospects via phone, email, and LinkedIn to understand their business and their fit with Huntress.
Set qualified meetings within our ideal customer profile by following best practices and standard processes.
Generate and qualify net-new accounts and work inbound opportunities to create a pipeline for the Account Executive team.
Use clear, value-driven messaging to build interest in Huntress and answer prospect questions with honesty, professionalism, and empathy.
Research accounts, document prospecting activity, and qualification notes in CRM, and maintain strong data hygiene.
Use AI tools with good judgment to support account research, call prep, and message drafting in your day-to-day work.
Keep improving your cold calling, messaging, and pipeline management skills through training, feedback, and repetition.
What You Bring to the Team:
8+ months of experience in a quota-carrying outbound B2B SaaS sales role.
Experience with outbound cold calling.
Strong time management and the ability to prioritize competing tasks.
Comfort working across CRM, prospecting tools, and multiple systems at the same time.
Attention to detail when taking notes, setting meetings, and following the process.
A coachable mindset and a genuine interest in continuing to grow your sales and cybersecurity knowledge.
Curiosity about AI and the judgment to use it in practical ways that help you work faster and smarter in your day-to-day.
What We Offer:
100% remote work environment - since our founding in 2015
New starter home office set up reimbursement (£398)
Generous personal leave entitlements
Digital monthly reimbursement (£92)
Travel to the US 1-2 times/year for various company events
Pension
Access to the BetterUp platform for coaching, personal, and professional growth
Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.
We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.
We do discriminate against hackers who try to exploit small businesses.
Accommodations:
If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to
accommodations@huntresslabs.com
. Please note that non-accommodation requests to this inbox will not receive a response.
Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our
Candidate Privacy Notice
for more details on our practices and your data privacy rights.
Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.
We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.
We do discriminate against hackers who try to exploit businesses of all sizes.
Accommodations:
If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to
accommodations@huntresslabs.com
. Please note that non-accommodation requests to this inbox will not receive a response.
Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our
Candidate Privacy Notice
for more details on our practices and your data privacy rights.
#BI-Remote
УдалённоNorway
San Francisco, CA | New York City, NY | Seattle, WA
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