Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; Boston, MA
Workplace: onsite
Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right.
You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output.
Project Details
Job Title: Data Quality Analyst
Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
Pay Rate: $38/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement.
What You’ll Do
Support quality and execution across DLA teams, ensuring work meets defined standards at scale
Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency
Act as the first line of support for DLAs — answering questions and helping interpret guidelines
Help DLAs navigate ambiguity and apply evolving instructions effectively
Support onboarding and training of new DLAs through hands-on guidance and coaching
Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads
Identify patterns, recurring issues, and edge cases in both human and model outputs
Participate in calibrations, team discussions, and stakeholder syncs
Contribute to improving guidelines, processes, and overall team performance
Document findings and feedback in a clear, concise, and actionable way
What We’re Looking For
Native-level Italian language proficiency
and a
university degree
(Bachelor’s or higher).
B2 or superior level of English.
2–4 years of experience in data annotation, content quality, QA, or related fields
Strong ability to interpret and apply complex guidelines with consistency
Excellent attention to detail with a high bar for quality
Ability to stay consistent while working with evolving guidelines and priorities
Experience in AI/ML data workflows or human-in-the-loop evaluation environments
Prior experience auditing or reviewing the work of others
Familiarity with safety, compliance, or policy-driven content evaluation
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
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
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Why This Role
This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; Boston, MA; To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; Boston, MA
Workplace: onsite
Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right.
You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output.
Project Details
Job Title: Data Quality Analyst
Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
Pay Rate: $38/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement.
What You’ll Do
Support quality and execution across DLA teams, ensuring work meets defined standards at scale
Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency
Act as the first line of support for DLAs — answering questions and helping interpret guidelines
Help DLAs navigate ambiguity and apply evolving instructions effectively
Support onboarding and training of new DLAs through hands-on guidance and coaching
Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads
Identify patterns, recurring issues, and edge cases in both human and model outputs
Participate in calibrations, team discussions, and stakeholder syncs
Contribute to improving guidelines, processes, and overall team performance
Document findings and feedback in a clear, concise, and actionable way
What We’re Looking For
Native-level Turkish language proficiency
and a
university degree
(Bachelor’s or higher).
B2 or superior level of English.
2–4 years of experience in data annotation, content quality, QA, or related fields
Strong ability to interpret and apply complex guidelines with consistency
Excellent attention to detail with a high bar for quality
Ability to stay consistent while working with evolving guidelines and priorities
Experience in AI/ML data workflows or human-in-the-loop evaluation environments
Prior experience auditing or reviewing the work of others
Familiarity with safety, compliance, or policy-driven content evaluation
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
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
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Why This Role
This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; Boston, MA
Workplace: onsite
Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right.
You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output.
Project Details
Job Title: Data Quality Analyst
Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
Pay Rate: $38/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement.
What You’ll Do
Support quality and execution across DLA teams, ensuring work meets defined standards at scale
Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency
Act as the first line of support for DLAs — answering questions and helping interpret guidelines
Help DLAs navigate ambiguity and apply evolving instructions effectively
Support onboarding and training of new DLAs through hands-on guidance and coaching
Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads
Identify patterns, recurring issues, and edge cases in both human and model outputs
Participate in calibrations, team discussions, and stakeholder syncs
Contribute to improving guidelines, processes, and overall team performance
Document findings and feedback in a clear, concise, and actionable way
What We’re Looking For
Native-level language proficiency
and a
university degree
(Bachelor’s or higher).
B2 or superior level of English.
2–4 years of experience in data annotation, content quality, QA, or related fields
Strong ability to interpret and apply complex guidelines with consistency
Excellent attention to detail with a high bar for quality
Ability to stay consistent while working with evolving guidelines and priorities
Experience in AI/ML data workflows or human-in-the-loop evaluation environments
Prior experience auditing or reviewing the work of others
Familiarity with safety, compliance, or policy-driven content evaluation
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
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
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Why This Role
This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA
Workplace: onsite
Overview
Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate.
This is not a traditional annotation role.
You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines.
We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders.
Project Details
Job Title: Data Labeling Associate
Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
Pay Rate: $34/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement.
What You’ll Do
Evaluate AI model outputs and provide structured, high-quality feedback
Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios
Contribute to improving evaluation frameworks, not just executing them
Identify trends in model performance and communicate insights clearly
Participate in team discussions, calibrations, and stakeholder syncs
Partner with leads and cross-functional teams to refine quality standards
Document findings in a clear, concise, and actionable way
What We’re Looking For
Native-level Portuguese (Brazil) proficiency
and a
university degree
(Bachelor’s or higher).
B2 or superior level of English.
1–2 years of professional writing experience with strong, structured writing skills
Ability to apply complex writing rules and guidelines consistently
Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience
Strong critical thinking and attention to detail
Ability to make sound judgment calls in ambiguous situations
Naturally curious about AI, technology, and how systems behave
Comfortable speaking up, asking questions, and contributing ideas
Strong written and verbal communication skills
Ability to stay consistent while working with evolving guidelines
Experience in data quality, QA, annotation, or analysis is helpful — but not required
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA
Workplace: onsite
What You’ll Do
Evaluate AI model outputs and provide structured, high-quality feedback
Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios
Contribute to improving evaluation frameworks, not just executing them
Identify trends in model performance and communicate insights clearly
Participate in team discussions, calibrations, and stakeholder syncs
Partner with leads and cross-functional teams to refine quality standards
Document findings in a clear, concise, and actionable way
What We’re Looking For
Native-level Portuguese (Portugal) language proficiency
and a
university degree
(Bachelor’s or higher).
B2 or superior level of English.
1–2 years of professional writing experience with strong, structured writing skills
Ability to apply complex writing rules and guidelines consistently
Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience
Strong critical thinking and attention to detail
Ability to make sound judgment calls in ambiguous situations
Naturally curious about AI, technology, and how systems behave
Comfortable speaking up, asking questions, and contributing ideas
Strong written and verbal communication skills
Ability to stay consistent while working with evolving guidelines
Experience in data quality, QA, annotation, or analysis is helpful — but not required
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA
Workplace: onsite
Overview
Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate.
This is not a traditional annotation role.
You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines.
We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders.
Project Details
Job Title: Data Labeling Associate
Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
Pay Rate: $34/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement.
What You’ll Do
Evaluate AI model outputs and provide structured, high-quality feedback
Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios
Contribute to improving evaluation frameworks, not just executing them
Identify trends in model performance and communicate insights clearly
Participate in team discussions, calibrations, and stakeholder syncs
Partner with leads and cross-functional teams to refine quality standards
Document findings in a clear, concise, and actionable way
What We’re Looking For
Native-level Turkish language proficiency
and a
university degree
(Bachelor’s or higher).
B2 or superior level of English.
1–2 years of professional writing experience with strong, structured writing skills
Ability to apply complex writing rules and guidelines consistently
Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience
Strong critical thinking and attention to detail
Ability to make sound judgment calls in ambiguous situations
Naturally curious about AI, technology, and how systems behave
Comfortable speaking up, asking questions, and contributing ideas
Strong written and verbal communication skills
Ability to stay consistent while working with evolving guidelines
Experience in data quality, QA, annotation, or analysis is helpful — but not required
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA
Workplace: onsite
Overview
Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate.
This is not a traditional annotation role.
You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines.
We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders.
Project Details
Job Title: Data Labeling Associate
Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
Pay Rate: $34/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement.
What You’ll Do
Evaluate AI model outputs and provide structured, high-quality feedback
Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios
Contribute to improving evaluation frameworks, not just executing them
Identify trends in model performance and communicate insights clearly
Participate in team discussions, calibrations, and stakeholder syncs
Partner with leads and cross-functional teams to refine quality standards
Document findings in a clear, concise, and actionable way
What We’re Looking For
Native-level Spanish language proficiency
and a
university degree
(Bachelor’s or higher).
B2 or superior level of English.
1–2 years of professional writing experience with strong, structured writing skills
Ability to apply complex writing rules and guidelines consistently
Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience
Strong critical thinking and attention to detail
Ability to make sound judgment calls in ambiguous situations
Naturally curious about AI, technology, and how systems behave
Comfortable speaking up, asking questions, and contributing ideas
Strong written and verbal communication skills
Ability to stay consistent while working with evolving guidelines
Experience in data quality, QA, annotation, or analysis is helpful — but not required
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
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
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA
Workplace: onsite
Overview
Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate.
This is not a traditional annotation role.
You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines.
We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders.
Project Details
Job Title: Data Labeling Associate
Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
Pay Rate: $34/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement.
What You’ll Do
Evaluate AI model outputs and provide structured, high-quality feedback
Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios
Contribute to improving evaluation frameworks, not just executing them
Identify trends in model performance and communicate insights clearly
Participate in team discussions, calibrations, and stakeholder syncs
Partner with leads and cross-functional teams to refine quality standards
Document findings in a clear, concise, and actionable way
What We’re Looking For
Native-level German language proficiency
and a
university degree
(Bachelor’s or higher).
B2 or superior level of English.
1–2 years of professional writing experience with strong, structured writing skills
Ability to apply complex writing rules and guidelines consistently
Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience
Strong critical thinking and attention to detail
Ability to make sound judgment calls in ambiguous situations
Naturally curious about AI, technology, and how systems behave
Comfortable speaking up, asking questions, and contributing ideas
Strong written and verbal communication skills
Ability to stay consistent while working with evolving guidelines
Experience in data quality, QA, annotation, or analysis is helpful — but not required
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
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
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Why This Role
This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA
Workplace: onsite
Overview
Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate.
This is not a traditional annotation role.
You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines.
We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders.
Project Details
Job Title: Data Labeling Associate
Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
Pay Rate: $34/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement.
What You’ll Do
Evaluate AI model outputs and provide structured, high-quality feedback
Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios
Contribute to improving evaluation frameworks, not just executing them
Identify trends in model performance and communicate insights clearly
Participate in team discussions, calibrations, and stakeholder syncs
Partner with leads and cross-functional teams to refine quality standards
Document findings in a clear, concise, and actionable way
What We’re Looking For
Native-level Italian language proficiency
and a
university degree
(Bachelor’s or higher).
B2 or superior level of English.
1–2 years of professional writing experience with strong, structured writing skills
Ability to apply complex writing rules and guidelines consistently
Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience
Strong critical thinking and attention to detail
Ability to make sound judgment calls in ambiguous situations
Naturally curious about AI, technology, and how systems behave
Comfortable speaking up, asking questions, and contributing ideas
Strong written and verbal communication skills
Ability to stay consistent while working with evolving guidelines
Experience in data quality, QA, annotation, or analysis is helpful — but not required
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA
Workplace: onsite
Overview
Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate.
This is not a traditional annotation role.
You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines.
We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders.
Project Details
Job Title: Data Labeling Associate
Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
Pay Rate: $34/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement.
What You’ll Do
Evaluate AI model outputs and provide structured, high-quality feedback
Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios
Contribute to improving evaluation frameworks, not just executing them
Identify trends in model performance and communicate insights clearly
Participate in team discussions, calibrations, and stakeholder syncs
Partner with leads and cross-functional teams to refine quality standards
Document findings in a clear, concise, and actionable way
What We’re Looking For
Native-level French proficiency
and a
university degree
(Bachelor’s or higher).
B2 or superior level of English.
1–2 years of professional writing experience with strong, structured writing skills
Ability to apply complex writing rules and guidelines consistently
Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience
Strong critical thinking and attention to detail
Ability to make sound judgment calls in ambiguous situations
Naturally curious about AI, technology, and how systems behave
Comfortable speaking up, asking questions, and contributing ideas
Strong written and verbal communication skills
Ability to stay consistent while working with evolving guidelines
Experience in data quality, QA, annotation, or analysis is helpful — but not required
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
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
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Why This Role
This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.
Location: Washington, District of Columbia, United States
Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world.
At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded.
About the Position
The Political Risk Insurance Projects Director supports a U.S. Government Agency in managing complex international risk mitigation initiatives. This role operates within a specialized function responsible for evaluating, structuring, and underwriting political risk solutions for investments in emerging and developing markets.
The Director serves as a senior specialist leading the assessment and execution of highly complex insurance transactions. The position requires deep expertise in political risk analysis, underwriting, and international investment environments, as well as the ability to engage with senior stakeholders across public and private sectors.
This position is based in Washington, D.C.
Responsibilities
Evaluates projects proposed by investors and designs the insurance coverage, personally handling unusually complex and significant issues as well as representing the Agency at the highest levels in negotiations with investors and foreign government representatives. Projects include the most complex issues and conditions and require the conduct of sensitive negotiations and original underwriting techniques performed with authoritative technical independence.
Reviews formal applications for political risk insurance. Analyzes the nature of investment, equity and loan instruments, project agreements, and related documents. Determines the level of concentration risk in the industry or country. Reviews laws and practices regarding investment and foreign exchange in country of proposed investment, as well as the investment conditions and political climate in order to assess political risk and anticipate and deal with problems that might arise. Reviews and works with other relevant departments to determine appropriateness of foreign government approval of the project and the investment's contribution to economic development in the project host country; the effect on U.S. balance of payments and employment; and the projects' environmental implications. Reviews final insurance applications and, when needed, requests supporting information and documentation.
Advises investors on whether the proposed project is insurable. Determines whether there are problems or restrictions that would make the project, investment, and/or investor ineligible and suggests, if possible, reshaping to achieve eligibility. Performs risk evaluation and proposes pricing.
Develops concepts and innovative approaches to provide and support political risk coverage.
Assists in maintaining and expanding the business pipeline for risk mitigation services, working with U.S. and foreign private sector and government officials, as well as with representatives of multilateral and bilateral development finance institutions.
Develops and sustains relationships with corporate, multilateral, and bilateral representatives to ensure early identification of future projects with potential for enhanced participation.
Negotiates and confers with senior officials and/or counsel of the investors regarding character of investment, the appropriate insurance coverage(s), and provisions of the contract. Provides suggested language for adaptations, changes in, or addenda to the standard contract and determines need for and obtains advice or clearance from legal counsel and other relevant parties.
Prepares or oversees the preparation of the insurance contract in final form, ensuring that it correctly reflects the investor's application and supplementary data, and after appropriate clearance, transmits it to the investor for execution and payment of fees.
Prepares staff memoranda and papers for presentation to approval committees, management, and senior leadership; coordinates presentations of projects for approval, as needed.
Work may include overseas travel to conduct due diligence about the current political situation in a country where issues are affecting the client's operations, conducting special negotiations, and working with local U.S. Embassy staff to deal with specific country issues.
Performs other related duties as assigned
Qualifications
Minimum of a master’s degree in international business/studies, international relations, finance, business, economics, political science, or a related field.
Minimum of 8 years of experience working at a political risk insurance firm, commercial bank, consulting firm, investment bank, international project development company, international financial institution, or multilateral organization within the last 10 years.
Experience independently completing the full range of origination of international political risk insurance contracts.
Experience conducting political risk analysis of investments in developing countries.
Experience identifying issues in at least two of the following three areas: political, economic or credit risks (e.g. due diligence, risk exposure, detailed credit analysis, market analysis, private investments).
Experience analyzing the underlying causes of changes in investment conditions and political climate in a developing country.
Experience guiding potential clients through the eligibility requirements, application process, investment policies requirement and approval process at a political risk insurance company.
Experience identifying pertinent host country political risks related to projects and applying these analyses to determine what risks should be covered and excluded in a political risk insurance contract.
Experience developing networks and customer contacts to identify new business opportunities.
Excellent English speaking, reading, and writing skills.
Demonstrated ability to produce written materials that are clear and succinct.
Must be a U.S. Citizen or Foreign National with the ability to obtain and maintain a Public Trust or higher-level clearance.
Below is the pay range aligned with this position. When developing a range, Dexis evaluates compensation holistically, triangulating between external market research
, our budget for the position, and internal equity to arrive at a figure that is fair and competitive. Offers within this range will be based on an individual candidate's qualification, relevant education and experience, skills, performance, and organizational needs.
Dexis pay range for this role:
$150,000
—
$175,000 USD
Benefits
Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for
full-time, US-based
positions only. These benefits include:
Medical and prescription drug coverage:
A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents.
Dental insurance:
Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits.
Company-paid vision insurance:
Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis.
Employer-funded health reimbursement arrangement (HRA):
Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses.
Company-paid life and disability insurance:
Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage.
Optional supplemental insurance:
Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents.
Employee Assistance Program (EAP):
Company-paid access to confidential counseling and legal and financial support resources for employees and their families.
Health and wellness resources:
Virtual care, behavioral health resources, and wellness programs available through the medical plan.
Benefits assistance:
Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center.
Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements.
Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you?
If you are passionate about this opportunity, apply now!
Only those applicants who meet the above criteria will be contacted for interview.
Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.
Location: Remote - US
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio's next Staff Software Engineer on our Data & Analytics Platform
Who we are & why we’re hiring
Twilio powers real-time business communications and data solutions that help
companies and developers worldwide
build better applications and customer experiences.
Although we're headquartered in San Francisco, we have presence throughout South America, Europe, Asia and Australia. We're on a journey to becoming a global company that actively opposes racism and all forms of oppression and bias. At Twilio, we support
diversity, equity & inclusion
wherever we do business.
About the job
We are seeking an experienced Staff Engineer to join our Data Substrate team. In this role, you will be responsible for architecting scalable and reliable data solutions, collaborating closely with cross-functional partners driving technical innovation, and mentoring a team of talented engineers. The ideal candidate will have deep expertise in data systems, strong leadership skills, and a proven track record of delivering complex data projects at scale.
Responsibilities
In this role, you’ll:
Serve as a subject matter expert in distributed systems, data technologies, with strong software engineering skills
Architect and implement scalable and efficient data systems, storage solutions, and processing frameworks using state-of-the-art technologies.
Drive technical innovation and research to stay at the forefront of emerging data technologies and best practices.
Mentor and coach a team of talented engineers, fostering a culture of technical excellence, collaboration, and continuous learning.
Collaborate closely with cross-functional teams to understand business requirements and translate them into scalable and efficient technical solutions.
Ensure data quality, integrity, and security throughout the data lifecycle, adhering to industry best practices and compliance standards.
Qualifications
Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
Required:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
8+ years of experience in software development, or a related field.
Proven track record of architecting and delivering complex data projects at scale, with a deep understanding of data infrastructure and distributed systems.
Expertise in big data technologies such as Hadoop, Spark, Kafka, and other distributed computing systems.
Experience designing, building, and operating large-scale systems using AWS technologies.
Proficiency in programming languages such as Python, Java, or Scala, with strong problem-solving skills and attention to detail.
Experience designing or working with Data Lakehouse architectures, including hands-on experience with Hudi, Iceberg, or Delta data formats.
Excellent communication and collaboration skills, with the ability to influence technical decisions and drive alignment across teams.
Strong leadership skills, with a track record of mentoring and developing junior engineers.
Demonstrated ability to thrive in a fast-paced, dynamic environment and deliver results under tight timelines.
Desired
Contributions to OSS projects is a bonus
Familiarity with data modeling, data warehousing, and ETL processes is a plus.
Location
This role will be remote, and based in the United States. This role will be remote but is not eligible to be hired in CA, WA, NY, NJ, PA or CT.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
Compensation
*Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above.
The estimated pay ranges for this role are as follows:
Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. :
$171,120.00 to $213,900.00
Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $181,200.00 to $226,500.00
Based in the San Francisco Bay area, California: $201,280.00 to $251,600.00.
This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location..
Applications for this role are intended to be accepted until 8/28/2026, but may change based on business needs.
The estimated pay ranges for this role are as follows:
$171,120.00 to $213,900.00
Applications for this role are intended to be accepted until 8/6/2026, but may change based on business needs.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations
Atlanta, US
Denver, US
Washington DC, US
Applications will be accepted until November 23, 2026.
About the Role
We are seeking a DCIM Administrator to build and run our Data Center Infrastructure Management program. This technical role is part of the Infrastructure Operations organization, which is responsible for building, scaling, and running one of the world's largest and most important cloud networks. Cloudflare’s global network spans more than 330 cities, and is a key strategic asset that supports all of our customers and products.
You are the operational backbone and workflow gatekeeper for all physical changes across our global network. Your meticulous work ensures every Move, Add, and Change (MAC) is executed only through a validated Nlyte work order, driving the highest level of data accuracy essential for supporting our edge and core security and performance services.
We operate in a fast-paced environment where you will be expected to drive both project delivery and operational excellence through continuous improvement, standardization, and optimization. This isn't just about day to day operations; it's about building a scalable, performant, secure, and resilient infrastructure that plays a critical role in us building a better Internet.
Responsibilities
Assist with the successful deployment of CAPEX investments, ensuring our infrastructure scales ahead of demand.
Collaborate with cross-functional partners including Project Managers, Capacity Planning, Finance, and Security to deliver on ambitious group initiatives.
Manage key third-party vendors and contractors, holding them accountable for performance and service level agreements (SLAs).
Be a role model and champion for continuous improvement, standardization, optimization, and automation.
Workflow Execution: Administer and manage the Nlyte Workflow/Work Order processes, including; issuing, tracking, and closing all physical MAC tickets.
Enforce strict adherence to the defined process by global technicians.
Data Integrity Champion: Perform daily data entry, manage automated asset discovery tools, and reconcile physical inventory against Nlyte records to guarantee 99.5%+ accuracy.
Asset Lifecycle Management (ALM): Own the entire asset data chain from receiving (scanning/logging) through deployment and decommissioning.
Model Library Management: Maintain the Nlyte Materials Catalog, ensuring all new hardware models have precise, validated resource profiles (power, cooling, rack elevations) to enable Analyst validation.
Field Training & Support: Provide hands-on training and support for global technicians on using the Nlyte mobile app, scanning tools, and required workflow procedures.
Desirable Skills, Knowledge, and Experience
You are a DCIM expert, highly organized and efficient operator. You have a track record of driving operational excellence through establishing and enforcing standard operating procedures and continuous improvement efforts. You are passionate about asset management and obsessed over data accuracy. This role is for hands-on asset and infrastructure administrators who can rapidly learn, adapt, and apply learnings to enable fast and sustainable growth. You thrive in a hyper-growth environment and have an outstanding ability to get things done under pressure while maintaining optimism and grit.
You are Transparent; you ensure every physical action is accurately logged and instantly visible to stakeholders globally. You are Principled; you have an uncompromising commitment to data integrity and refuse to bypass established workflows.
Education:
Bachelor's degree in Information Technology, Logistics, Manufacturing, Business Administration, or a related field, or equivalent practical experience.
Experience:
4+ years of hands-on experience in IT Asset Management or DCIM administration (Nlyte experience is a strong advantage).
Direct experience administering a workflow or change management system, with a focus on discipline and process enforcement in a multi-site environment.
Experience with change management in ERP and asset management transformation efforts.
Experience operating in a high-velocity environment involving geographic dispersed Data Centers across various time zones.
Technical Competencies:
High proficiency in physical inventory control, including barcode/RFID systems.
Deep familiarity with data center infrastructure, including server hardware, network hardware, rack elevation/density, and power distribution
Knowledge of structured cabling, and cabling standards.
Advanced proficiency in Excel (VLOOKUP, Pivot Tables) or basic SQL.
Expert in workflow Management (MAC Process): Proven experience managing a high-volume Move, Add, Change queue.
Soft Skills:
Exceptional attention to detail and strong organizational skills.
Excellent problem-solving and root cause analysis capabilities.
Meticulous Attention to Detail: A "Zero-Defect" mindset regarding data entry.
Strong verbal and written communication skills.
Documentation & SOP Creation: Experience writing Standard Operating Procedures (SOPs) for remote hands technicians.
Remote Training Ability: Experience training or guiding remote teams.
Compensation
Compensation may be adjusted depending on work location.
For Colorado based hires: Estimated annual salary of $98,000 - $135,000
For Remote - Washington and Washington (Kirkland) based hires: Estimated annual salary of $120,000 - $165,000
For Washington D.C. based hires: Estimated annual salary of $120,000 - $165,000
Equity
This role is eligible to participate in Cloudflare's equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations: Washington, D.C.
What you’ll do as a Senior Customer Engineer, Public Sector Federal
You are the technical lynchpin through the entire sales cycle - pre-sales and account technical leadership. You will work closely with our Public Sector prospects and customers to educate, empower, and ensure their success on the Cloudflare platform. Your technical expertise in Cloudflare’s global distributed network and technology will allow you to find best-fit solutions for prospects, to train and onboard new customers via video-conference or in person, create documentation, and to support the long-term technology strategy of the customer.
As a Public Sector Federal Solutions Engineer, you will need to have strong technical knowledge of both on premise security and networking implementations and public cloud initiatives common to US Public Sector Federal customers. You are the technical customer advocate within Cloudflare and will work closely with every team at Cloudflare, from Sales and Product, through to Engineering and Customer Support.
What we look for in our Solutions Engineers
Our Solutions Engineers come from a wide range of backgrounds: engineering, software development, product management, customer support, and project delivery. We're serious about building a diverse team. When hiring we look for diversity of experience combined with genuine curiosity for our technology.
Ultimately, you are passionate about technology and have the ability to explain complex technical concepts in easy-to-understand terms. You are naturally curious, and an avid builder who is not afraid to get your hands dirty. You appreciate the diversity of challenges in working with customers, and look forward to helping them realize the full promise of Cloudflare. You are an educator who works with empathy to drive positive outcomes for your customer. On the Solutions Engineering team, you will find a collaborative environment where everyone brings different strengths and jumps in to help each other.
Responsibilities
As critical members of Cloudflare’s Public Sector Sales team, Solutions Engineers drive technical discussions and implementations to help generate new business, expand existing business, and keep our customers happy.
In business generation and expansion, you’ll be tasked with qualification of prospect and customer use cases, technical requirements discovery, leading demonstrations, solution identification and design, and collaborative work on proofs-of-concept (PoCs).
For our existing customers, Solutions Engineers are part of a dedicated account team that advises the customer on technical best practices, implementation of Cloudflare products and features, and strategic guidance.
The role is focused on emerging Dept. of Defense & DISA segment within our Federal segment and as such will require some travel, Generally, the role requires 35-45% travel to attend meetings with prospects or customers, attend conferences and other industry events, and to collaborate with your Cloudflare teammates.
Requirements
Demonstrated understanding in internet technologies: OSI Model layers 1-7,Routing TCP/UDP, DNS (authoritative and recursive), HTTP(S), SSL / TLS.
Comfortable with SASE frameworks and related technologies such as Secure WEb Gateway, CASB, DLP, SD-WAN, etc.
Comfort with on premise infrastructure and networking configurations, including potential legacy systems or methodologies.
Minimum 4 years of experience in a customer-facing sales or consulting role supporting the US Federal Government.
Technical curiosity and passion: Cloudflare is at the cutting edge of internet technology, and our Solutions Engineers are viewed as subject-matter experts. It’s incumbent on us to stay up to date not only with Cloudflare’s specific products, but with industry trends.
A focus on learning, teaching, collaboration, mentorship, and growth, not only personally but also within the team and company.
Aside from technical and collaborative skills, we place a high value on project management, relationship building, and EQ.
Desired
You're not afraid of command-line interfaces, RESTful APIs, or analyzing HTTP request and response in a browser’s web inspector.
An undergraduate degree in Computer Science, Engineering or a related field. Reminder: this is not a strict requirement at all. Candidates from all walks of life are welcome.
Experience serving the US Department of Defense or DISA market segment
Bonus Points
Graduate-level degrees in Computer Science, Engineering or related fields. Reminder: this is not a strict requirement at all. Candidates from all walks of life are welcome.
Certifications: Azure/AWS/GCP Architect, etc.
More About You
You can translate technical concepts and jargon for a wide variety of audiences: from systems engineers, to front-end developers, through to IT managers and C-levels in enterprise organizations.
You want to be constantly learning new things and teaching what you've learned to the broader team through internal and external blog posts, team demos, and product training sessions.
You have a knack for understanding problems and finding creative ways to solve them. Our product suite is ever-growing, and knowing how to identify which parts will solve a customer's particular problem is important.
You understand how to manage a project, work to deadlines, and prioritize between competing demands.
Compensation
Compensation may be adjusted depending on work location.
For Washington based hires: Estimated annual salary of $211,000 - $257,000
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Location:
Austin, TX (US), San Francisco, CA (US), New York City (US), Washington D.C. (US), London (UK)
Cloudflare’s Infrastructure Team builds and runs the systems and software that support our solutions that handle trillions of requests per month. We ensure that all of the new and existing features and functionality that Cloudflare offers can be managed at scale and meet the needs of our massively growing, global customer base.
About the role
As a Software Engineer, Deploy at Scale, you will be responsible for building and maintaining the platform that powers safe, reliable, and automated deployments across Cloudflare. We are looking for engineers to join the Deploy@Scale team and help shape the next phase of deployment automation, release safety, and AI-assisted operations. The Release Manager platform is pivotal in ensuring service resiliency by orchestrating progressive deployments, supporting health-mediated rollouts, and automating release workflows at scale. Our mission is to make deployments seamless, predictable, observable for all engineering teams across Cloudflare.
Examples of desirable skills, knowledge and experience
At least 4 years of hands-on software development experience on meaningfully complex systems.
Experience building both backend systems and frontend widgets.
Ability to contribute to planning, development, and execution to meet commitments and deliver with predictability.
Experience implementing tools, processes, internal instrumentation, and methodologies.
Comfortable working on projects with tight deadlines and short release cycles.
Strong verbal and written English language skills.
This role may require flexibility to be on-call outside of standard working hours to address technical issues as needed.
Compensation
Compensation may be adjusted depending on work location.
For San Francisco based hires: Estimated annual salary of $157,000 - $216,000
For Washington D.C. and New York City based hires: Estimated annual salary of $150,000 - $206,000
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; Boston, MA; To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; Boston, MA; To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin
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ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin
Washington, District of Columbia, United States
УдалённоRemote - US; Compensation for candidates in other locations will be discussed during the hiring process
Experience operating in a high-velocity environment involving geographic dispersed Data Centers across various time zones
seniorCandidates from all walks of life are welcome