Location: Frankfurt am Main, Germany
Company:
They design and supply process technology and equipment for crushing and oil extraction, edible oil refining, FAME biodiesel production, oleochemical processes for fatty acids, glycerine purification, fatty alcohol and more.
Position Summary
Reporting to the Regional Sales Director, job holder is responsible and accountable for the following:
• Qualifying opportunities that come from the Edible Oil and Oleochemical industry.
• Technically and commercially identify and evaluate customer’s requirements in order to prepare proposals.
• Liaise with internal technical team while managing customers with the objective to secure contracts.
• Utilize engineering and business skills to navigate project tenders, cost estimations, sales cycles and identifying new opportunities.
Key Responsibilities / Duties
• Assist the Sales Director in planning, preparing and executing contract tender opportunities in the edible oil/oleochemical industry.
• Generate proposals by putting together project cost estimation, process plant operating costs, scope of supply and process flow diagrams.
• Be able to do project cost estimations, calculate rough equipment sizes, approximate process plant consumption and understand plant processes.
• Use engineering skills with business sense to match client requirements to good solutions.
• Create and deliver product presentations that highlight value propositions of technology.
• Assist the Sales Director to develop and implement the Sales and Marketing strategy for the Company in line with market growth potential, technological and price competitiveness and any emerging opportunities in allied technologies and supply.
• Assist the Sales Director to penetrate the market to ensure optimum market coverage and timely response to market opportunities in terms of proposal preparation, follow up and negotiations.
• Develop and maintain healthy customer relationships and provide support to maintain confidence in the Company, its products and enhance future sales possibilities.
• Closely monitor the competitive environment including technology and commercial developments of key competitors and provide these inputs to the Sales Director to develop counter strategy.
• Follow up regularly on submitted proposals and identify key customer concerns to address in order to close sales.
• Co-ordinate with Engineering Department for assistance in proposal generation and solutions.
• Co-ordinate with the Engineering / Operation Department on new contracts to ensure that they are informed on all the commitments made by the Sales Department and other relevant information apart from what is stipulated in the Contract.
• Co-ordinate orders booking, invoicing and ensure payment collection with respective Project Leaders.
• Assist in the preparation of selected conferences and exhibitions and participate during the exhibition.
Requirements
Qualification
• Bachelor's degree in chemical / Process Engineering
Experience
• 2- 4 years preparing Sales proposal for equipment or project tender, fresh graduates are encouraged to apply
• Experience in Edible Oil or Oleochemical industry is an advantage
• Willing to travel on short notice
Location: China; Vietnam; Philippines; Taiwan; Japan; Thailand
The Japanese freelancer oversees the quality of the reports delivered by the Evaluators by proofreading them. He/she makes sure that the information provided is up to the Company’s standards before it is delivered to the Client.
- Be responsible of the quality delivered, making sure it is aligned with the Company’s standards before the surveys are published to the client
- Ensure of the timely validation of the surveys
- Get in touch with the evaluators or Operation Executives for additional information
- Be professional under any circumstances when representing the Company.
-
Compensation:
1200 JPY/hour (approximately 4 surveys can be validated per hour).
Requirements
You bring to this position attention and accuracy for details that you support by:
- Excellent communication skills in Japanese and English as you will be contacting Evaluators and Operation Executives on a regular basis, native speaker
- Excellent organizing skills to make sure the surveys are delivered on time
- Positive and outgoing personality
- Microsoft Office skills
- At least 1-2 years of Editing experience is a plus
- Around 2 hours per day to this work
KEY COMPETENCES
- Rigorous organization
- Time management
- Attention to detail
- Customer-service orientation
- Integrity
- Reliability
Location: San Francisco
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Strategic accounts at Baseten are the largest and fastest-growing AI companies in the world. These are the teams defining the future of what AI products and services look like. These accounts can scale rapidly from one token to billions of tokens in a matter of weeks. This role owns these relationships, working directly with founders and engineering leaders on mission-critical and large-scale-AI problems in production—and shaping what we build next.
This is a highly technical sale. You’ll trade opinions on the latest open-source model releases, run fast and nuanced evaluations alongside customer engineering teams, and often pulling in SMEs from applied research to infrastructure engineers to win. You’ll bring tight sales fundamentals and process discipline, while maintaining flexibility and creativity in how you run each cycle.
This role is pioneering what sales looks like at the bleeding-edge of technology sales. This is a front row seat to the most consequential decisions made at the forefront of Artificial Intelligence. There is no faster place to learn and make an immediate impact.
RESPONSIBILITIES
- Own a focused portfolio of high-growth, strategic AI-native accounts end to end — from technical evaluation and initial workload landing through expansion as inference usage scales.
- Lead technical evaluations and complex, multi-stakeholder sales cycles from first conversation through close. Bring strong sales fundamentals and process discipline, while staying flexible and creative in how you run each sales cycle.
- Build trusted relationships with founders and technical leaders, becoming a credible partner on model, infrastructure, and inference decisions.
- Orchestrate stakeholders across applied research, engineering, and leadership to win technical evaluations and solve customer problems.
- Bring customer signal back to product, shaping roadmap priorities through the needs and patterns you see in the field.
- Stay close after close: help customers expand from an initial workload into additional use cases across the organization.
REQUIREMENTS
- 5+ years of sales experience in infrastructure, developer tools, data, or another consumption business, with a record of closing complex technical deals.
- Proven net-new experience selling complex technical products in fast-moving environments.
- Strong sales fundamentals across discovery, multi-threading, champion-building, and deal momentum.
- Genuine curiosity for open-source models and the AI infrastructure landscape. You follow model releases and can hold your own with engineers.
- Highly dynamic: comfortable when a deal goes off-script, able to meet customers where they are, and willing to change your approach without losing rigor.
- Strong technical project management: you can run a thorough evaluation across multiple workstreams and create clarity and direction for Baseten to win.
- Proven ability to sell internally, earning engineering time, aligning leadership, and getting cross-functional teams to move
- Scrappy, low-ego, collaborative operator. You run toward ambiguous problems, create structure where none exists, and earn internal support without relying on rigid swim lanes.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Dubai, United Arab Emirates
Workplace: on-site
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a French Speaking Project Manager to join one of our clients' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.
About the Role:
We are looking to recruit an experienced and passionate Project Manager – Events to lead and execute high-profile events for our luxury brand clients. The ideal candidate should have a minimum of 5 years' experience in a similar role, managing end-to-end event project cycles, especially within the luxury, fashion, or retail brand sectors. The role requires strong planning, coordination, and leadership skills, as well as the ability to work under pressure and deliver exceptional experiences that reflect the quality and prestige of the brands we work with.
Project Manager
– Events
Location:
Dubai, UAE
Industry:
Luxury, Fashion, Retail
Experience Required:
Minimum 5 years
Languages:
French (Fluent), English (Excellent)
Key Responsibilities:
Lead and manage the full lifecycle of event projects from client briefing and planning through to on-site execution and post-event reporting.
Oversee the project schedule, budget, and resources to ensure timely and cost-effective delivery of all event milestones.
Coordinate with internal departments (design, production, logistics) and external vendors (venues, suppliers, contractors) to ensure all deliverables meet the brand’s standards.
Maintain and regularly update the project checklist, tracking progress against key milestones.
Supervise site installations and ensure all work aligns with event specifications, safety requirements, and luxury brand expectations.
Liaise with clients and consultants throughout the project to resolve issues, provide updates, and ensure satisfaction.
Conduct site visits during pre-production and production phases to ensure quality control and schedule adherence.
Organize and lead pre-installation and technical meetings with relevant stakeholders.
Coordinate travel and logistics arrangements for internal teams and third-party vendors where applicable.
Ensure proper documentation, including permits, approvals, and completion certificates where necessary.
Conduct internal debriefs post-event with relevant teams to assess project outcomes and identify areas of improvement.
Evaluate team member performance and provide feedback to support continuous development.
Create reporting frameworks and dashboards to track key project metrics and performance indicators.
Maintain strong working relationships with local teams and contractors, both domestically and internationally.
Bachelor’s degree in Events Management, Marketing, Business, or a related field.
Minimum 5 years of relevant experience managing luxury or high-end brand events.
Fluency in
French
is mandatory; excellent communication in English is also essential.
Proven ability to manage budgets, timelines, and cross-functional teams.
Strong leadership, negotiation, and client-facing skills.
Knowledge of event production processes, logistics, and quality control protocols.
Experience working across international markets or coordinating with global teams is an advantage.
Strong sense of aesthetics, brand sensitivity, and attention to detail.
Willingness to travel and work flexible hours as per event requirements.
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: Frankfurt am Main, Germany
Company:
They design and supply process technology and equipment for crushing and oil extraction, edible oil refining, FAME biodiesel production, oleochemical processes for fatty acids, glycerine purification, fatty alcohol and more.
Position Summary:
The After-Sales Manager is responsible for leading and managing the After-Sales Service function to ensure efficient and effective service delivery to customers, including addressing inquiries, executing upgrading projects, and maintaining customer relationships. The role involves strategic planning, operational control, and ensuring alignment with the company's business objectives. Additionally, the position oversees contract execution, cost control, and maintaining high standards of customer satisfaction.
Key Responsibilities / Duties:
1. Customer Support & Relationship Management:
• Attend to customer inquiries for plant modifications, process improvements, and spare parts with urgency.
• Conduct regular visits to existing customers to maintain relationships and gather feedback on plant performance and market trends.
• Develop counter-strategies based on customer feedback and market developments to enhance service offerings.
• Maintain and manage customer accounts, ensuring accurate and up-to-date records of all interactions, transactions, and service requests.
2. Contract & Project Management:
• Monitor and coordinate upgrading contracts, ensuring proper execution, cost control, and compliance with contractual obligations.
• Lead and guide project teams in the preparation and implementation of upgrading contracts, ensuring timely delivery and budget adherence.
• Supervise and support the commissioning and start-up of equipment to meet customers’ final acceptance standards.
• Conduct quality checks on procured equipment and ensure specifications are met before delivery.
3. Cost & Quality Control:
• Provide support during equipment costing to maintain budget compliance and cost efficiency.
• Ensure quotations are competitive and align with budget estimates.
• Maintain high standards of quality control through regular inspections and evaluations of equipment and services.
4. Technical Support & Problem Solving:
• Provide technical guidance and support to customers during start-up and after-sales activities.
• Troubleshoot and resolve issues encountered during the installation, commissioning, and operation of equipment.
• Analyze and resolve operational problems encountered during plant visits and provide competent advice for troubleshooting.
5. Collaboration & Communication:
• Collaborate with cross-functional teams, including Sales, Procurement, Logistics, and Engineering, to ensure cohesive project execution.
• Maintain effective communication with customers to understand their needs and provide timely solutions.
• Coordinate with the Sales team to clarify technical data for spare parts and provide accurate quotations.
Requirements
Job Specifications
Qualification
• Bachelor's degree in chemical / Process Engineering
Experience
• 3- 5 years' experience in engineering / maintenance for chemical industry
• Experience in Edible Oil or Oleochemical industry is an advantage
• Willing to travel on short notice
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: 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: San Francisco, California, United States
Senior Actuarial Analyst
DRIVE PROFITABLE GROWTH FOR THE BUSINESS
About At-Bay
At-Bay is the world’s first InsurSec provider designed from the ground up to help businesses tackle cyber risk head on. By combining industry-leading insurance with world-class cybersecurity technology, At-Bay offers end-to-end prevention and protection for the digital age. With 98% of cyber insurance claims in the past five years coming from small and mid-size businesses with revenue under $2B, providing an integrated solution to help manage risk is more critical than ever.
At-Bay helps its 35,000+ customers close their security technology and skills gap — all through their cyber insurance policy — making them less likely to be hit with a ransomware attack. As a full-stack insurance company, At-Bay offers multiple lines of specialty insurance, including Cyber, Tech E&O, and Miscellaneous Professional Liability (MPL) policies.
Why you should join our
Actuarial Pricing
team:
As an Senior Actuarial Analyst on the Pricing team, you will be working under the risk function with talented team members in modeling, risk analytics, decision engine, insurance and tech product. The Pricing team has helped At-Bay launch new products, secure reinsurance capacity, quantify and manage risk related KPIs and adjust pricing to drive profitable growth.
You’ll join a growing team of actuaries and actuarial analysts of diverse backgrounds and report to our Actuarial Director. You’ll be surrounded by a team that loves what they do, leverages technology to improve efficiency & minimize duplicative work, and recognizes the enormous responsibility that they have – to support key business decisions with data backed insights and a deep understanding of insurance risk.
Role overview:
Your work will directly contribute to At-Bay’s risk assessment framework that helps with data-driven decisions involving millions of dollars of exposure. This is a multidisciplinary role that includes developing deep cyber and tech knowledge, business acumen, research, and analytical skills. This is also a hands-on operational role where you’ll see in house submission, quotes and binds and understand how each risk decision will impact on the business.
You will manage the overall program profitability, improve pricing accuracy, and work cross-functionally with Insurance & Tech Product, Underwriting, Claims, and Decision Engine teams on the implementation of those products. You will be responsible for leading and supporting a wide variety of pricing and underwriting related initiatives, quantifying the impacts and implications of those initiatives on the business and identifying ways to the overall economics of the business.
How you’ll make an impact:
By 3 months…
You’ll understand At-Bay’s internal data structure and develop key relationships across the business
You’ll have reviewed the existing Cyber and Tech E&O product structures, related tools, and related data sources to track and analyze product performance
You’ll have completed a quarterly rate indication and presented your recommendation to key stakeholders
You’ll identify areas of improvement in our systems and processes
By 6 months...
You’ll have developed a proposal to modify the Cyber rate plan and have evaluated the proposal will have on the business
You’ll have improved the depth and efficiency of the existing rate indication process via automation and/or innovation
You’ll have analyzed customer acquisition and retention data to improve At-Bay’s ability to understand the economics of the business
You’ll help coach team members and key
stakeholders
to understand actuarial analytics, Cyber pricing and risk, and how it differs from traditional pricing and other lines of business
What you’ve accomplished already:
You’ve evaluated the profitability of a portfolio of insureds using actuarial techniques and communicated the results to leadership
You’ve worked cross-functionally with underwriting, product management, data science, claims or other analytical departments to solve complex business problems
You’ve developed tools to automate existing processes and/or improve visibility into the performance of the products
You’ve analyzed competitor rating plans and interpreted the results to improve your pricing and/or underwriting structures
You’ve passed 4+ exams in pursuit of your ACAS, FCAS, or other equivalent designation
You’ve achieved proficiency with Excel and SQL, and have experience with Python and/or R
Our estimated base pay range for this role is $120,000-135,000 per year. Base salary is determined by a variety of factors including but not limited to market data, location, internal equitability, domain knowledge, experiences and skills. In general, if the position sparks your interest we encourage you to apply - our team prioritizes talent.
#LI-DNI
#LI-LM1
Location: Dubai, United Arab Emirates
About Müller's Solutions:
Müller's Solutions is an industry-leading SAP consulting firm dedicated to delivering innovative solutions that empower businesses to maximize their SAP investments. Our team of experienced professionals is committed to providing tailored services that drive efficiency and effectiveness in data management and analytics.
Job Overview:
We are seeking a skilled SAP Analytics Cloud (SAC) Consultant for a 3-month contract that could be extended based on project needs. In this role, you will be responsible for implementing and supporting SAP Analytics Cloud solutions to enhance reporting, visualization, and data analysis capabilities for our clients. You will collaborate closely with business stakeholders to gather requirements and create meaningful insights.
Requirements
Requirements:
Bachelor's degree in Computer Science, Data Science, Information Systems, or a relevant field.
A minimum of 3 years of experience working with SAP Analytics Cloud (SAC) or similar BI tools.
Hands-on experience with SAC for data modeling, storytelling, and dashboard creation.
Experience in connecting SAC with various SAP and non-SAP data sources.
Demonstrated experience in Integrated Financial Planning (Standard).
Strong understanding of best practices for visualization, reporting, and analytics.
Experience integrating SAP Analytics Cloud with SAP BW, SAP HANA, or other data sources.
Knowledge of data preparation, ETL processes, and data transformation best practices.
Excellent analytical and problem-solving skills to evaluate business requirements and provide effective solutions.
Strong communication skills to effectively interface with clients and gather requirements.
Ability to work independently and collaboratively in a fast-paced environment.
SAC certification is a plus but not mandatory.
Location: Cyprus
Workplace: OnSite
We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, and we may help to find the right ones.
Currently, we are looking for an experienced Strategy / Investment Analyst to join one of Toogeza's clients - Investment fund focused on iGaming. The opening is open due to expansion, and the main focus is market research, evaluation, and project presentation.
Responsibilities:
- Conduct market research for existing and new projects.
- Participate in operational efficiency and strategy development projects within portfolio companies.
- Participate a vision, strategy, business, and operational model for new business launch.
- Analyse numerous investment opportunities.
- Prepare and present summaries and presentations for the internal committee and partners; lead investment reports with an investment decision based on a deep analysis of their market, product, financial performance, and team.
- Communicate with companies and partners, including testing products of promising companies, conducting Q&A sessions and interviews with founders, comment startup pitch decks.
Requirements:
- Have a financial or STEM education.
- 1-3 years of experience in a similar role (IB, PE, VC, consulting).
- Deep knowledge of financial reporting (IS: revenue, main costs, and margins; BS,CF), and valuation methods (DCF, Multiples).
- Financial modelling skills and experience.
- Excellent presentation skills.
- At least B2 level English.
- Proficient user of PowerPoint and Excel.
Thanks for your interest! In the case of your application, we will review it within 5 working days. If it meets the job requirements, we will arrange a call and will be happy to get to know each other better. Otherwise, we’d love to stay in touch waiting for other opportunities to become available.
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: 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: Lisbon, Portugal
Workplace: onsite
David Kennedy Recruitment is working with a leading Outsourcing/BPO company that is looking to recruit a Czech speaking Content Moderator for their Lisbon office.
Position: Content Moderator
Location: Lisbon, Portugal
Work model: on-site
Employment type: Full-time
DUTIES AND RESPONSIBILITIES:
Review user-generated live video content for an online platform
Ensure that minors under the age of admission are not making use of the Livestream function
Delete and block content according to the policies, as well as filter, organise, and evaluate it.
REQUIREMENTS:
Native or fluent in Czech with strong proficiency in both written and spoken communication, as well as English fluency (B2)
Computer literate with the ability to adopt new knowledge quickly
Comfortable with reviewing content that may be deemed inappropriate, violent and/or contain explicit material without bias
Strong critical and contextual thinking skills
Ability to work in a fast-paced environment with high volumes and changing demands
Ability to work independently, with minimal supervision, and as a part of the team
Full-time job 40 Hours per week (8 hours per day with an additional lunch break hour) on a weekly rotational shift pattern covering operating hours 24/7.
OFFER:
Affordable accomodation in single rooms in shared apartments provided by the employer
Sponsored yearly flight back home and return of flight costs to Portugal
Health insurance
Cafeteria on site
3 week training partially compensated by the employer
A dynamic multilingual, multicultural and creative team with positive and friendly atmosphere
Guidance and tools to reach career potential
And much more!
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
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