Location: Spain
Our mission
Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency.
With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students.
Please send your resume in English only.
Duties and Responsibilities:
Strategic Roadmap Ownership:
Define and drive a multi-year, outcome-based roadmap that aligns with global business goals and North Star metrics.
Market Intelligence:
Lead comprehensive market research to identify emerging trends in AI and EdTech, ensuring our product strategy remains ahead of the curve.
Monetization & Pricing:
Own the pricing strategy for international markets. Conduct analysis to determine price floors and ceilings, and optimize monetization models to maximize LTV.
Scientific & Data Leadership:
Apply a scientific approach to product discovery. Analyze performance data to validate hypotheses and drive data-informed decision-making across the organization.
Stakeholder Management:
Act as a key partner for the Leadership Team, delivering clear, data-backed insights and recommendations that influence company-wide strategy.
Team Mentorship:
Lead, mentor, and scale a team of product managers, fostering a culture of accountability, growth, and high-quality PRD standards.
Cross-functional Collaboration:
Serve as the primary point of contact for Engineering, Data Science, and Design teams to prioritize features and resolve technical/business trade-offs.
Qualifications and Experience:
5+ years of experience
as a Product Manager in software development (SaaS, EdTech, or AI-driven products).
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical/scientific field.
Proven ability to manage products using complex data analysis and scientific research methodologies.
Expert knowledge of prioritization frameworks (e.g., RICE, WSJF) and experience building outcome-driven (not just feature-driven) roadmaps.
Strong track record of writing high-quality PRDs and managing sprints in a fast-paced, agile environment.
Experience leading cross-functional stakeholders and directly mentoring other product managers.
Fluent English with the ability to articulate technical concepts to non-technical stakeholders clearly.
Nice to Have:
Academic background in Business (MBA/BBA) or completion of advanced product strategy programs (e.g., Reforge, Kellogg, or similar).
Experience in building and scaling
AI/ML-powered products
.
Background in
Science
or experience with academic/research-focused software.
Experience managing products with
millions of users
across multiple geographical regions.
What We Offer
💻 Choice of work equipment (e.g., laptop, monitor, etc.)
🇬🇧 English classes (iTalki – $130 monthly)
⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00)
👶 Newborn bonus (€500 per child)
🧠 Patent remuneration
🌴 Paid leave
🧑💻 Remote work in locations without our offices
Hybrid work in locations with offices (2 days in-office, 3 days remote)
Constructor
fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.
seniorSpain; We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds
Location: Germany
Our mission
Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency.
With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students.
Please send your resume in English only.
Duties and Responsibilities:
Strategic Roadmap Ownership:
Define and drive a multi-year, outcome-based roadmap that aligns with global business goals and North Star metrics.
Market Intelligence:
Lead comprehensive market research to identify emerging trends in AI and EdTech, ensuring our product strategy remains ahead of the curve.
Monetization & Pricing:
Own the pricing strategy for international markets. Conduct analysis to determine price floors and ceilings, and optimize monetization models to maximize LTV.
Scientific & Data Leadership:
Apply a scientific approach to product discovery. Analyze performance data to validate hypotheses and drive data-informed decision-making across the organization.
Stakeholder Management:
Act as a key partner for the Leadership Team, delivering clear, data-backed insights and recommendations that influence company-wide strategy.
Team Mentorship:
Lead, mentor, and scale a team of product managers, fostering a culture of accountability, growth, and high-quality PRD standards.
Cross-functional Collaboration:
Serve as the primary point of contact for Engineering, Data Science, and Design teams to prioritize features and resolve technical/business trade-offs.
Qualifications and Experience:
5+ years of experience
as a Product Manager in software development (SaaS, EdTech, or AI-driven products).
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical/scientific field.
Proven ability to manage products using complex data analysis and scientific research methodologies.
Expert knowledge of prioritization frameworks (e.g., RICE, WSJF) and experience building outcome-driven (not just feature-driven) roadmaps.
Strong track record of writing high-quality PRDs and managing sprints in a fast-paced, agile environment.
Experience leading cross-functional stakeholders and directly mentoring other product managers.
Fluent English with the ability to articulate technical concepts to non-technical stakeholders clearly.
Nice to Have:
Academic background in Business (MBA/BBA) or completion of advanced product strategy programs (e.g., Reforge, Kellogg, or similar).
Experience in building and scaling
AI/ML-powered products
.
Background in
Science
or experience with academic/research-focused software.
Experience managing products with
millions of users
across multiple geographical regions.
What We Offer
💻 Choice of work equipment (e.g., laptop, monitor, etc.)
🇬🇧 English classes (iTalki – $130 monthly)
⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00)
👶 Newborn bonus (€500 per child)
🧠 Patent remuneration
🌴 Paid leave
🧑💻 Remote work in locations without our offices
Hybrid work in locations with offices (2 days in-office, 3 days remote)
Constructor
fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.
Location: Turkey, Istanbul
Our mission
Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency.
With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students.
Please send your resume in English only.
Duties and Responsibilities:
Strategic Roadmap Ownership:
Define and drive a multi-year, outcome-based roadmap that aligns with global business goals and North Star metrics.
Market Intelligence:
Lead comprehensive market research to identify emerging trends in AI and EdTech, ensuring our product strategy remains ahead of the curve.
Monetization & Pricing:
Own the pricing strategy for international markets. Conduct analysis to determine price floors and ceilings, and optimize monetization models to maximize LTV.
Scientific & Data Leadership:
Apply a scientific approach to product discovery. Analyze performance data to validate hypotheses and drive data-informed decision-making across the organization.
Stakeholder Management:
Act as a key partner for the Leadership Team, delivering clear, data-backed insights and recommendations that influence company-wide strategy.
Team Mentorship:
Lead, mentor, and scale a team of product managers, fostering a culture of accountability, growth, and high-quality PRD standards.
Cross-functional Collaboration:
Serve as the primary point of contact for Engineering, Data Science, and Design teams to prioritize features and resolve technical/business trade-offs.
Qualifications and Experience:
5+ years of experience
as a Product Manager in software development (SaaS, EdTech, or AI-driven products).
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical/scientific field.
Proven ability to manage products using complex data analysis and scientific research methodologies.
Expert knowledge of prioritization frameworks (e.g., RICE, WSJF) and experience building outcome-driven (not just feature-driven) roadmaps.
Strong track record of writing high-quality PRDs and managing sprints in a fast-paced, agile environment.
Experience leading cross-functional stakeholders and directly mentoring other product managers.
Fluent English with the ability to articulate technical concepts to non-technical stakeholders clearly.
Nice to Have:
Academic background in Business (MBA/BBA) or completion of advanced product strategy programs (e.g., Reforge, Kellogg, or similar).
Experience in building and scaling
AI/ML-powered products
.
Background in
Science
or experience with academic/research-focused software.
Experience managing products with
millions of users
across multiple geographical regions.
What We Offer
💻 Choice of work equipment (e.g., laptop, monitor, etc.)
🇬🇧 English classes (iTalki – $130 monthly)
⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00)
👶 Newborn bonus (€500 per child)
🧠 Patent remuneration
🌴 Paid leave
🧑💻 Remote work in locations without our offices
Hybrid work in locations with offices (2 days in-office, 3 days remote)
Constructor
fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.
Location: Bulgaria, Sofia
Our mission
Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency.
With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students.
Please send your resume in English only.
Duties and Responsibilities:
Strategic Roadmap Ownership:
Define and drive a multi-year, outcome-based roadmap that aligns with global business goals and North Star metrics.
Market Intelligence:
Lead comprehensive market research to identify emerging trends in AI and EdTech, ensuring our product strategy remains ahead of the curve.
Monetization & Pricing:
Own the pricing strategy for international markets. Conduct analysis to determine price floors and ceilings, and optimize monetization models to maximize LTV.
Scientific & Data Leadership:
Apply a scientific approach to product discovery. Analyze performance data to validate hypotheses and drive data-informed decision-making across the organization.
Stakeholder Management:
Act as a key partner for the Leadership Team, delivering clear, data-backed insights and recommendations that influence company-wide strategy.
Team Mentorship:
Lead, mentor, and scale a team of product managers, fostering a culture of accountability, growth, and high-quality PRD standards.
Cross-functional Collaboration:
Serve as the primary point of contact for Engineering, Data Science, and Design teams to prioritize features and resolve technical/business trade-offs.
Qualifications and Experience:
5+ years of experience
as a Product Manager in software development (SaaS, EdTech, or AI-driven products).
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical/scientific field.
Proven ability to manage products using complex data analysis and scientific research methodologies.
Expert knowledge of prioritization frameworks (e.g., RICE, WSJF) and experience building outcome-driven (not just feature-driven) roadmaps.
Strong track record of writing high-quality PRDs and managing sprints in a fast-paced, agile environment.
Experience leading cross-functional stakeholders and directly mentoring other product managers.
Fluent English with the ability to articulate technical concepts to non-technical stakeholders clearly.
Nice to Have:
Academic background in Business (MBA/BBA) or completion of advanced product strategy programs (e.g., Reforge, Kellogg, or similar).
Experience in building and scaling
AI/ML-powered products
.
Background in
Science
or experience with academic/research-focused software.
Experience managing products with
millions of users
across multiple geographical regions.
What We Offer
💻 Choice of work equipment (e.g., laptop, monitor, etc.)
🇬🇧 English classes (iTalki – $130 monthly)
⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00)
👶 Newborn bonus (€500 per child)
🧠 Patent remuneration
🌴 Paid leave
🧑💻 Remote work in locations without our offices
Hybrid work in locations with offices (2 days in-office, 3 days remote)
Constructor
fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.
Location: Zürich, CH
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.
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: Cairo, Egypt; India; Riyadh, Saudi Arabia; Amman, Jordan; Beirut, Lebanon
Müller's Solutions is seeking a skilled WebMethods Developer for a short-term engagement lasting 2 months might be extended. This role is essential for enhancing our integration solutions and optimizing our existing systems. As a WebMethods Developer, you will work closely with our technical teams to design, develop, and deploy integration solutions that align with business objectives. Your expertise will facilitate smooth data flow between various applications while ensuring robust performance.
Responsibilities:
Design, build, and maintain integration solutions using WebMethods platforms.
Collaborate with project managers and stakeholders to gather technical requirements for integration needs.
Implement best practices in coding and integration strategies to enhance system efficiency.
Troubleshoot and resolve issues related to existing integrations and provide timely fixes.
Document integration processes and provide knowledge transfer to team members.
Stay informed of updates and advancements in WebMethods technology to suggest improvements.
Requirements
Requirements:
Bachelor's degree in Computer Science, Information Technology, or a related field.
Proven experience as a WebMethods Developer, particularly in integration development.
Strong understanding of WebMethods components, including Designer, Integration Server, and Trading Networks.
Experience with web services (SOAP and REST) and message-oriented middleware.
Familiarity with relation database management systems and SQL.
Ability to work effectively under tight deadlines and in a fast-paced environment.
Excellent communication skills and teamwork abilities.
Preferred Qualifications:
Experience with DevOps tools and practices.
Knowledge of Agile software development methodologies.
Relevant certifications in WebMethods or integration technologies are a plus.
Benefits
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.
УдалённоCairo, Egypt; India; Riyadh, Saudi Arabia; Amman, Jordan; Beirut, Lebanon
Location: Lagos, Nigeria
Role Summary
Renmoney is seeking a strategic, innovative, and experienced Product Manager responsible for the development, management, and strategic positioning of wealth management and private banking products, ensuring tailored solutions that grow assets under management, drive deposit mobilization, and meet clients' sophisticated needs. The Product Manager balances client-centric innovation with compliance, profitability, and competitive differentiation, supporting the bank’s growth agenda in premium and retail segments.
Key Responsibilities
Design, launch, and manage wealth management and private banking products including fixed deposits, bonds, commercial papers, and high-value savings accounts, tailored to individuals and SMEs.
Conduct market research, assess customer needs, and analyze competitor offerings to inform product strategy and pipeline.
Monitor product performance metrics (growth, adoption, profitability, cost of funds), regularly reviewing strategy to ensure AUM and revenue targets are achieved.
Collaborate with digital, compliance, operations, and sales teams to ensure products are secure, scalable, and regulatory compliant.
Support relationship managers and sales teams with training, tools, and product information, enabling them to drive growth and cross-sell across the bank's premium client base.
Develop product roadmaps, prepare business cases, and manage regulatory submissions and approvals for new products and enhancements.
Drive customer engagement initiatives, ensuring superior client experience and retention in private banking channels.
Lead quarterly product reviews, ensuring internal process alignment and continuous improvement around client satisfaction and portfolio profitability.
Requirements
Bachelor’s degree (Business, Finance, Economics, or allied disciplines); professional certifications in wealth management/financial planning are advantageous.
Minimum of 3–5 years’ experience in product development or relationship management, ideally in wealth/private banking or financial services within the Nigerian.
Strong grasp of financial market trends, regulatory frameworks, and wealth management instruments relevant to microfinance and premium banking.
Excellent analytical, communication, and stakeholder management skills. Proficiency in digital product analytics/tools is a plus.
Demonstrated ability to deliver client-focused solutions and grow profitable product portfolios.
Location: Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Federal DoW/IC Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI across DoW/IC agencies. You'll leverage your deep understanding of DoW/IC operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the DoW/IC market while maintaining the highest standards of security and compliance.
Responsibilities:
Drive new business and revenue growth specifically within DoW/IC agencies, owning the full sales cycle from initial outreach through deployment
Navigate the unique requirements of DoW/IC procurement, including DFAR compliance, ITAR/EAR regulations, security clearance requirements, and agency-specific security protocols
Build and maintain relationships with key decision-makers across DoW/IC agencies, becoming a trusted advisor on AI capabilities and implementation in classified and unclassified environments
Develop and execute strategic account plans that align with mission requirements, operational needs, and modernization initiatives
Coordinate closely with cleared cloud service providers and cleared system integrators to ensure successful deployment and integration
Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet DoW/IC requirements, including classification levels and air-gapped environments
Create and maintain sales playbooks specific to DoW/IC use cases, procurement processes, and security requirements
Take a leadership role in growing our DoW/IC presence while maintaining hands-on engagement with key accounts
Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements with proper security protocols
You may be a good fit if you have:
7+ years of enterprise sales experience in the DoW/IC space, with a proven track record of driving adoption of emerging technologies
Deep understanding of DoW/IC agency missions, operational challenges, and technology needs across classification levels
Active security clearance (TS/SCI preferred) with ability to discuss capabilities in classified environments
Demonstrated ability to balance strategic leadership with hands-on sales execution in high-security environments
Experience navigating complex DoW/IC procurement processes, including knowledge of SEWP, CIO-SP3, GSA, and other relevant contracting vehicles
Strong track record of exceeding revenue targets in the DoW/IC space
Extensive experience with DoW/IC contracting vehicles, procurement mechanisms, and security compliance requirements
Excellent relationship-building skills across all levels, from technical teams to senior agency leadership, including military and civilian leadership
Proven ability to coordinate across multiple stakeholders, including cleared cloud providers, cleared system integrators, and security personnel
Strategic thinking combined with attention to detail in execution, particularly regarding security protocols
A passion for safe and ethical AI development, with the ability to articulate its importance in national security contexts
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:
$380,000
—
$450,000 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: New York, NY; United States - Remote; Philadelphia, PA; Washington, DC
Workplace: remote
We are seeking a motivated and results-driven Cloud Sales Specialist to help grow our Platform Prime customer base and increase revenue. The Prime Sales Specialist will play a pivotal role in driving North America sales through a mix of new Platform Prime customer acquisition and cross-selling into existing Platform Core clients. You will work closely with the sales and technical teams to communicate the value of Azul’s solutions to both technical and business stakeholders.
This is an individual-contributor, quota-carrying role that can be based remotely in the US.
What You’ll Do (aka Responsibilities):
Sales Strategy & Execution:
Develop and implement strategies to generate new Prime business opportunities and achieve sales targets within assigned territories/accounts.
Client Engagement:
Actively engage with existing Platform Core customers to understand their unique challenges and business needs, providing Azul solutions.
Sales Pipeline Management:
Manage the entire sales cycle, from lead generation to close. Maintain a robust pipeline of opportunities and forecast accurately. Build a 3X pipeline.
Cross-functional Collaboration:
Work closely with Sales Engineers, Marketing, and Customer Success teams to ensure prospects receive comprehensive, clear, and accurate product demonstrations, proposals, and support.
Negotiation & Closing:
Drive contract negotiations, while consistently closing business on a monthly and quarterly basis.
Reporting:
Maintain accurate records of sales activity, progress, and outcomes in Salesforce.
What You’ll Bring (aka Experience and Education)
15+ years direct software sales experience
Proven track record of direct sales of both on-premise and cloud-based software solutions into large enterprises, as well as SaaS centric companies
Demonstrated experience in key verticals: online retail, e-commerce, ad-tech, gaming and financial services
Significant experience selling into the infrastructure space (OS, JVM, Container) versus the application space
Confident experience working in close partnership with a Technical Sales Engineer
Extensive experience selling technical products that require technical POCs
Experience selling enterprise products based on Java-based Open Source, highly desired
Undergraduate degree, or equivalent experience
What You'll Bring (aka Skills and Competencies)
Exceptional communicator, influencer and presenter
Ability to Evangelize a new solution where there most likely is not an existing budget placeholder
Demonstrated ability with Multi-Level selling
Proficient in deal qualification methodologies, MEDDPICC preferred
Progressive and proactive use of industry sales tools and systems
Location
New York, CT or New Jersey.
135-160k Base range D.O.E with a 300k on target earnings potential, UNCAPPED.
Location: Home Based - Americas
The Software Alliances team at Canonical works with leading software companies to optimize and enable their products with Ubuntu and other Canonical software, for instance our AI offerings. We develop joint product roadmaps, drive delivery, and formulate go-to-market plans, content and processes, enabling differentiated offerings and robust product life-cycle support anchored to best-in-class Canonical products. Enterprises are able to receive the benefits of open source, securely maintained, and validated solutions from cloud to edge, whether purchased from Canonical, embedded in Alliance partners’ products, or accessed through the cloud.
The successful candidate is someone who has demonstrated success in business development or product management, both as a leader and an individual contributor in major accounts. If you are someone who is passionate about open source, can navigate complex new technical challenges, learn quickly, and architect solutions and strategies across global teams, this challenging role is for you. This role is ideal for professionals with 7+ years of experience.
Location: This role will be based remotely in the Americas region.
The role entails
Setting the account strategy in a major account, region, and/or vertical.
Collaborating with product, engineering, alliance and marketing teams at partners to align on open-source strategies.
Capturing partner requirements, evaluating gaps, and identifying Canonical opportunities.
Coordinating with marketing and product teams on messaging, content creation, and launch plans.
Creating partner- and customer-facing materials like reference architectures, joint blueprints, webinars, presentations, videos, and white papers.
Driving Ubuntu adoption within targeted alliance accounts, advocating its benefits to stakeholders and working with partners on enablement training for their development, delivery, support and commercial teams.
Influencing alliance partners to build with Canonical technology.
Up to 25% travel, including internationally, for internal conferences and to drive partnerships in person.
What we are looking for in you
Demonstrated cross-functional leadership and influence
Exceptional academic track record from both high school and university or a compelling narrative about your alternative chosen path.
Bachelor's degree in science, technology and/or engineering.
Experience in software development and system architecture.
Customer-facing experience in software engineering, product management, business development, technology strategy or similar functions.
Excellent communication skills across all levels of stakeholders - individual contributors to the C-suite; ability to grasp complex material and synthesize key points.
Ability to think and work at both strategic and tactical levels.
Disciplined and self motivated for a remote-first workplace environment.
Nice-to-have skills and experience
Experience with open source software and open source business models.
Product management or program management experience.
Understanding of marketing and go-to-market strategy.
Sector-specific experience in finance, telecommunications, automotive, or public sectors.
Working knowledge of independent hardware and software vendor go-to-market motions.
Post-graduate degree in science, technology or engineering field.
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Team Member Assistance Program & Wellness Platform
Opportunity to travel to new locations to meet colleagues
Priority Pass and travel upgrades for long-haul company events
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
Location: Home Based - Americas; Home based - EMEA
The Software Alliances team at Canonical works with leading software companies to optimize and enable their products with Ubuntu and other Canonical software, for instance our AI offerings. We develop joint product roadmaps, drive delivery, and formulate go-to-market plans, content and processes, enabling differentiated offerings and robust product life-cycle support anchored to best-in-class Canonical products. Enterprises are able to receive the benefits of open source, securely maintained, and validated solutions from cloud to edge, whether purchased from Canonical, embedded in Alliance partners’ products, or accessed through the cloud.
The successful candidate is someone who has a background in technology, engineering or product management and is interested in continuing to grow their career in business development. If you are someone who can navigate complex new technical challenges, learn quickly, and architect solutions and strategies across global teams, this challenging role is for you. This role is ideal for early career professionals with up to 7 years of experience.
Location: This role will be based remotely in the Americas or EMEA region.
The role entails
Collaborating with product, engineering, alliance and marketing teams at partners to align on open-source strategies.
Capturing partner requirements, evaluating gaps, and identifying Canonical opportunities.
Coordinating with marketing and product teams on messaging, content creation, and launch plans.
Creating partner- and customer-facing materials like reference architectures, joint blueprints, webinars, presentations, videos, and white papers.
Driving Ubuntu adoption within targeted alliance accounts, advocating its benefits to stakeholders and working with partners on enablement training for their development, delivery, support and commercial teams.
Influencing alliance partners to build with Canonical technology.
Up to 25% travel, including internationally, for internal conferences and to drive partnerships in person.
What we are looking for in you
Exceptional academic track record from both high school and university or a compelling narrative about your alternative chosen path.
Bachelor's degree in science, technology and/or engineering.
Experience in software development and system architecture.
Customer-facing experience in software engineering, product management, business development, technology strategy or similar functions.
Excellent communication skills across all levels of stakeholders - individual contributors to the C-suite; ability to grasp complex material and synthesize key points.
Ability to think and work at both strategic and tactical levels.
Disciplined and self motivated for a remote-first workplace environment.
Nice-to-have skills and experience
Experience with open source software and open source business models.
Team leadership, product management or program management experience.
Understanding of marketing and go-to-market strategy.
Sector-specific experience in finance, telecommunications, automotive, or public sectors.
Working knowledge of independent hardware and software vendor go-to-market motions.
Post-graduate degree in science, technology or engineering field.
What we offer colleagues
We consider geographic location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person.
Personal learning and development budget of USD 2,000 per year.
Annual compensation review.
Recognition rewards.
Annual holiday leave.
Maternity and paternity leave.
Employee Assistance Programme.
Opportunity to travel to new locations to meet colleagues.
Priority Pass, and travel upgrades for long haul company events.
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
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 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:
£260,000
—
£630,000 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: Belgium (Remote)
Workplace: Remote
ABOUT THE OPPORTUNITY
We are seeking detail-oriented human reviewers with a strong understanding of their local cultural context to support a range of AI training and evaluation projects.
In this role, you will work across diverse task types, including evaluating prompts and AI-generated outputs, reviewing and correcting text, analyzing multimedia content, contributing voice recordings, among others.
You will contribute to ensuring high-quality results by applying careful judgment to factors such as accuracy, clarity, cultural appropriateness, brand alignment, and overall effectiveness in meeting task objectives. This work requires strong analytical skills, attention to detail, and nuanced judgment informed by real-world standards, local norms, and market expectations.
WHAT YOU’LL DELIVER
- Depending on the task, you may be asked to generate original content or assess AI-generated outputs.
- Deliver culturally relevant and appropriate content by applying local insight into tone, symbolism, visual cues, and market fit.
- Spot common issues such as visual artefacts, inconsistent style, translation errors, or cultural mismatches.
- Provide concise, structured annotations that can be used directly for model improvement.
- Apply evaluation guidelines consistently and participate in calibration and QA processes to ensure aligned scoring and judgment standards
QUALIFICATIONS
- Native fluency in the target language
- Strong command of English
- Experience as AI reviewer, annotator, or evaluator preferred
- Comfortable working with both textual and audio/video materials
- Ability to follow detailed guidelines consistently and provide clear feedback
- High attention to detail and ability to thoroughly and accurately categorize content
WHY COLLABORATE WITH LILT?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.
WHAT TO CONSIDER BEFORE APPLYING
- Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed.
- Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit.
- Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging.
HOW TO JOIN OUR EXPERT COMMUNITY
1 - Submit your application including an updated copy of your CV in English
2 - Complete a short assessment in SuperAnnotate to evaluate your annotation skills
3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects.
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: Saudi Arabia (remote)
Workplace: Remote
ABOUT THE OPPORTUNITY
We are seeking detail-oriented human reviewers with a strong understanding of their local cultural context to support a range of AI training and evaluation projects.
In this role, you will work across diverse task types, including evaluating prompts and AI-generated outputs, reviewing and correcting text, analyzing multimedia content, contributing voice recordings, among others.
You will contribute to ensuring high-quality results by applying careful judgment to factors such as accuracy, clarity, cultural appropriateness, brand alignment, and overall effectiveness in meeting task objectives. This work requires strong analytical skills, attention to detail, and nuanced judgment informed by real-world standards, local norms, and market expectations.
WHAT YOU’LL DELIVER
- Depending on the task, you may be asked to generate original content or assess AI-generated outputs.
- Deliver culturally relevant and appropriate content by applying local insight into tone, symbolism, visual cues, and market fit.
- Spot common issues such as visual artefacts, inconsistent style, translation errors, or cultural mismatches.
- Provide concise, structured annotations that can be used directly for model improvement.
- Apply evaluation guidelines consistently and participate in calibration and QA processes to ensure aligned scoring and judgment standards
QUALIFICATIONS
- Native fluency in the target language
- Strong command of English
- Experience as AI reviewer, annotator, or evaluator preferred
- Comfortable working with both textual and audio/video materials
- Ability to follow detailed guidelines consistently and provide clear feedback
- High attention to detail and ability to thoroughly and accurately categorize content
WHY COLLABORATE WITH LILT?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.
WHAT TO CONSIDER BEFORE APPLYING
- Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed.
- Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit.
- Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging.
HOW TO JOIN OUR EXPERT COMMUNITY
1 - Submit your application including an updated copy of your CV in English
2 - Complete a short assessment in SuperAnnotate to evaluate your annotation skills
3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects.
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: Mexico (Remote)
Workplace: Remote
ABOUT THE OPPORTUNITY
We are seeking detail-oriented human reviewers with a strong understanding of their local cultural context to support a range of AI training and evaluation projects.
In this role, you will work across diverse task types, including evaluating prompts and AI-generated outputs, reviewing and correcting text, analyzing multimedia content, contributing voice recordings, among others.
You will contribute to ensuring high-quality results by applying careful judgment to factors such as accuracy, clarity, cultural appropriateness, brand alignment, and overall effectiveness in meeting task objectives. This work requires strong analytical skills, attention to detail, and nuanced judgment informed by real-world standards, local norms, and market expectations.
WHAT YOU’LL DELIVER
- Depending on the task, you may be asked to generate original content or assess AI-generated outputs.
- Deliver culturally relevant and appropriate content by applying local insight into tone, symbolism, visual cues, and market fit.
- Spot common issues such as visual artifacts, inconsistent style, translation errors, or cultural mismatches.
- Provide concise, structured annotations that can be used directly for model improvement.
- Apply evaluation guidelines consistently and participate in calibration and QA processes to ensure aligned scoring and judgment standards
QUALIFICATIONS
- Native fluency in the target language
- Strong command of English
- Experience as AI reviewer, annotator, or evaluator preferred
- Comfortable working with both textual and audio/video materials
- Ability to follow detailed guidelines consistently and provide clear feedback
- High attention to detail and ability to thoroughly and accurately categorize content
WHY COLLABORATE WITH LILT?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.
WHAT TO CONSIDER BEFORE APPLYING
- Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed.
- Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit.
- Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging.
HOW TO JOIN OUR EXPERT COMMUNITY
Step 1 - Submit your application including an updated copy of your CV in English
Step 2 - Complete a short assessment in SuperAnnotate to evaluate your annotation skills
Step 3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects.
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: Prague
Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.
Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you.
Our vision:
A world where everyone is free to focus on their most purposeful work, together.
Ready to become a Wriker?
You'll own your outcomes, from the strategies you run to the conversations that shape what we build next. We’re looking for a driven, curious, and growth‑minded Inside Sales Representative to join our Commercial Sales organization at Wrike. In this role, you’ll build meaningful relationships with prospects and customers, uncover new opportunities, and help expand the adoption of the Wrike platform. If you thrive in a fast‑paced environment, enjoy problem‑solving, and love collaborating with a high‑energy team, we’d love to meet you.
As part of our Prague co‑location strategy, this role follows a
3‑day in‑office schedule
. Being together enables faster learning, stronger collaboration, and a shared rhythm that accelerates both individual and team growth.
Team Dynamics:
The ISR is responsible for driving business on a defined set of accounts in the commercial segments. The ISR works closely with Account Managers and together work towards a specific booking target. ISR's are responsible for all sets of sales activity primarily outbound and for understanding customer pain points/challenges to provide/sell the best solution possible.
Your Impact:
Proactively do calling to all assigned existing customers and new prospective clients (hunting) and generating pipeline and incremental business on both
Deep understanding customer/prospect needs and spot opportunities to expand Wrike within existing accounts.
Research trends, competitors, and workflows to tailor outreach and add real value.
Find new contacts and decision‑makers inside accounts through smart networking and research.
Personalize outreach across email, phone, and LinkedIn to show how Wrike solves their challenges.
Qualify opportunities, connect interested prospects with the right Account/ Executive Manager and other functions within the business.
Leverage outbounding and AI tools (ie: Lusha, Sales Navigator, SalesLoft, Regie) to create a strategic list of potential prospects to target outreach
Assess the suitability of potential opportunities within accounts by understanding their needs, budget, and decision-making processes to ensure alignment with our solutions
Proactively build knowledge of the product, new feature releases, changes in market trends and competitors landscape to improve engagement
Partner with sales teams, including other ISRs, Senior Sales Executives, and Marketing, to refine and perfect account-specific messaging, aligning with business workflows needs and solution selling
Your Qualifications:
Fluency in English (and German)
1-2+ years of successful sales experience (Tech/SaaS Preferred)
You bring grit, curiosity, coachability, strong communication, and a proactive, growth‑oriented mindset that drives consistent performance and continuous improvement.
Standout Qualities:
Experience handling the full sales cycle from qualification to close
Experience handling customer relationships and using those relationships to expand business
Experience with solution selling
Outbound sales calling experience
Experiencing filtering through a large number of inbound leads/trials, and promptly following up on those leads
Ability to conduct end-user demonstrations over video conferencing/zoom
Benefits & Perks:
5 Weeks of paid vacation
Sick Leave Compensation
5 Paid Uncertified Sick Days
2 weeks fully paid w/ medical certificate, additional
4 weeks paid at 80% salary rate
Parental Leave (fully paid): 18 Weeks Maternity / 4 Week Paternity
2 Volunteer Days
Meal Vouchers (CZK 220 per working day)
Annual Prague Travel Card (Lítačka)
Hybrid Working Model
Benefit budget with flexible options, including a MultiSport card, Canadian Medical membership, contributions to a pension savings plan and additional choices available through Benefit Plus
Your recruitment buddy will be
Arjola Stejskal
, Talent Acquisition Specialist
#LI-AS1
Who Is Wrike and Our Culture
We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.
Hybrid work mode
Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.
While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.
Our persona
💡 Smart:
We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.
💚 Dedicated:
We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!
🤗 Approachable:
We're friendly, easy to get along with, considerate, and helpful.
Our culture and Values
🤩 Customer-Focused
We care about our customers.
We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.
🤝 Collaborative
We work as one and win together,
each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.
🎨 Creative
We strive to succeed through continuous innovation.
It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.
💪 Committed
We believe in ownership at all levels of the organization,
by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.
Check out our
LinkedIn Life Page
,
Company culture page
,
Instagram
,
Wrike Engineering Team
,
Medium
,
Meetup.com
,
Youtube
for a feel for what life is like at Wrike.
Location: Remote - European Region
Workplace: hybrid
Coinspaid Solutions is a fintech company building blockchain payment infrastructure for the global economy.
We design, implement, and scale payment systems that connect digital assets with real-world financial operations. Our solutions help businesses and financial institutions operate efficiently in the evolving digital asset landscape.
For over 11 years, we’ve been developing products that bring crypto payments closer to mainstream adoption. Today, our team includes 350+ professionals working remotely across multiple countries.
We combine the pace of fintech with a long-term approach to building products, teams, and careers. As a remote-first company, we give people flexibility in how they work while maintaining strong collaboration and shared ownership across teams.
🏆 In 2026, Coinspaid was recognized as Best Corporate Culture in the Blockchain Industry in Europe, reflecting our focus on ownership, trust, and collaboration.
Responsibilities:
Gather, validate and document business requirements
Analyze current systems and identify areas for improvement
Identify issues, risks and benefits of existing and proposed solutions and outline business impacts
Create functional specifications for solutions and internal technical documentation
Design APIs and interaction scenarios
Help to define business problems via in-depth investigation and gather technical and non-technical information
Outline detailed requirements for a solution and ensure the delivered solution meets those business requirements
Improve and validate existing methods for generating product and project documentation
Define tasks to developers and testers
Requirements:
3+ years of BA/SA experience
Mathematical, analytical, creative and problem-solving skills
Proficiency in verbal and nonverbal communication and interpersonal skills
Effective logical thinking skills
Prioritisation, high focus, and self-motivation
Explain ideas in simple and user-friendly language
Good understanding of SDLC, PDLC
Experience in using business analysis tools, knowledge of process modelling notations and visualizing the architecture, such as: BPMN, UML, C4, etс
Strong knowledge of integration patterns and formats
Experience in creating data models
Certifications (preferred)
Good level of spoken and written English and Russian
Why should you choose Coinspaid?
You’ll be joining a company that is actively shaping its space – with enough scale to matter and enough room to make an impact.
At Coinspaid, people are expected to think, contribute, and take ownership – and are supported in doing so.
We focus on flexibility, wellbeing, and long-term growth – without overcomplicating how benefits work.
Flexible Benefits
Benefit Bar – up to €230/monthA flexible monthly budget you can use for what matters most to you – from sports and mental health to coworking, home office, or medical-related expenses.
Work & Flexibility
Fully remote work from almost anywhere
Optional offices and relocation support
Flexible, async-friendly environment
Growth & Learning
Budget for courses, certifications, and professional development
Language learning support
Cross-team learning and knowledge sharing
Wellbeing & Support
Medical insurance or reimbursement depending on location
Access to mental health support
Financial support for important life events
Extras
Merch shop with rewards system
Team offsites and company events
Sounds good? Well then, we can’t wait to see your resume!
To learn more please visit: https://coinspaid.com/about-us/ & https://coinspaid.com/careers/
seniorGermany; We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds
seniorTurkey, Istanbul; We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
seniorBulgaria, Sofia; We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds
Zürich, CH
Washington, DC
УдалённоNew York, NY; United States - Remote; Philadelphia, PA; Washington, DC
УдалённоГеография найма не уточнена
УдалённоHome based - EMEA
London, UK
УдалённоBelgium (Remote)
УдалённоSaudi Arabia (remote)
УдалённоMexico (Remote)
seniorBudapest
Prague; With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations
ГибридseniorOptional offices and relocation support
Автоотклики