agentic ai teacher , agi data services Jobs in Boston

agentic ai teacher , agi data services

ai annotator, agi data services Jobs in Boston

ai annotator, agi data services

ai data trainer, agi data services Jobs in Boston

ai data trainer, agi data services

data analyst

data analyst, ambulatory clinical operations Jobs in Boston

data analyst, ambulatory clinical operations

data annotator

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon is looking for an Data Annotator to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities.<br>
<br>
Key job responsibilities<br>
As an Data Annotator, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Your key responsibilities will include (but not limited to) the below:<br>
<br>
<ul><li>Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content</li><li>Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines</li><li>Performing audits and quality checks of tasks completed by other specialists, if required</li><li>Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks</li><li>Diving deep into issues and implementing solutions independently</li><li>Identifying and reporting tooling bugs and suggesting improvements</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>An Associate&rsquo;s Degree or related work experience.</li><li>2+ years of experience working with written language data, including experience with annotation, and other forms of data markup.</li><li>Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale).</li><li>Strong understanding of U.S.-based culture, society, and norms.</li><li>Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.</li><li>Excellent attention to details and ability to focus for a long period of time.</li><li>Comfortable with high-school level STEM</li><li>Ability to effectively write and evaluate diverse subject matter across various domains</li><li>Ability to adapt writing style to suit various style guidelines and customers.</li><li>Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Bachelor&rsquo;s degree in a relevant field or equivalent professional experience.</li><li>Experience with creating complex data for LLM training and evaluation.</li><li>1+ year(s) of experience working with command line interfaces and basic UNIX commands.</li><li>Familiarity with common markup languages such as HTML, XML, Markdown.</li><li>Familiarity with common standard text formats such as JSON, CSV, RTF.</li><li>Working knowledge of Python or another scripting language.</li><li>Familiarity with regular expressions syntax.</li><li>Familiarity with Large Language Models.</li><li>Comfort in annotation work that may include sensitive content.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $40,400/year in our lowest geographic market up to $86,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Data Annotator , AGI Data Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon is looking for an AI Annotator to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities.<br>
<br>
Key job responsibilities<br>
As an AI Annotator, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Your key responsibilities will include (but not limited to) the below:<br>
<br>
<ul><li>Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content</li><li>Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines</li><li>Performing audits and quality checks of tasks completed by other specialists, if required</li><li>Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks</li><li>Diving deep into issues and implementing solutions independently</li><li>Identifying and reporting tooling bugs and suggesting improvements</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>An Associate&rsquo;s Degree or related work experience.</li><li>2+ years of experience working with written language data, including experience with annotation, and other forms of data markup.</li><li>Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale).</li><li>Strong understanding of U.S.-based culture, society, and norms.</li><li>Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.</li><li>Excellent attention to details and ability to focus for a long period of time.</li><li>Comfortable with high-school level STEM</li><li>Ability to effectively write and evaluate diverse subject matter across various domains</li><li>Ability to adapt writing style to suit various style guidelines and customers.</li><li>Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Bachelor&rsquo;s degree in a relevant field or equivalent professional experience.</li><li>Experience with creating complex data for LLM training and evaluation.</li><li>1+ year(s) of experience working with command line interfaces and basic UNIX commands.</li><li>Familiarity with common markup languages such as HTML, XML, Markdown.</li><li>Familiarity with common standard text formats such as JSON, CSV, RTF.</li><li>Working knowledge of Python or another scripting language.</li><li>Familiarity with regular expressions syntax.</li><li>Familiarity with Large Language Models.</li><li>Comfort in annotation work that may include sensitive content.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $40,400/year in our lowest geographic market up to $86,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

AI Annotator, AGI Data Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon is investing in generative AI and the responsible development and deployment of Large Language Models (LLMs) across all of our businesses. As part of the Data Team, you will deliver high-quality training data to improve and expand our proprietary LLM capabilities.
<br>
<br>
We seek innovative candidates who can solve complex problems and drive technological advancement in AI. Your work will directly impact how Amazon's customers interact with our AI systems across multiple business lines.<br>
<br>
Key job responsibilities<br>
<ul><li>Create and annotate high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
</li><li>Write grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
</li><li>Utilize Python and SQL to automate and optimize data processing workflows
</li><li>Interpret technical documentation to implement solutions accurately
</li><li>Dive deep into issues and implement solutions independently
</li><li>Identify and report tooling bugs and suggest improvements
</li><li>Make sound judgments and logical decisions when faced with ambiguous or incomplete information
</li></ul><br>
About the team<br>
Amazon strives to be the world&rsquo;s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor&rsquo;s degree in a relevant field or equivalent professional experience.</li><li>Advanced English-level language proficiency (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).</li><li>Proven experience working with written language data, including experience with annotation, and other forms of data markup.</li><li>Familiarity with critical concepts such as Python, scripting language, data structures etc.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy.</li><li>Experience managing stakeholder relationships across departments.</li><li>Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $40,400/year in our lowest geographic market up to $86,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Agentic AI Teacher , AGI Data Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon is looking for an Content Strategist to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities.<br>
<br>
Key job responsibilities<br>
As an Content Strategist, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Your key responsibilities will include (but not limited to) the below:<br>
<br>
<ul><li>Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content</li><li>Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines</li><li>Performing audits and quality checks of tasks completed by other specialists, if required</li><li>Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks</li><li>Diving deep into issues and implementing solutions independently</li><li>Identifying and reporting tooling bugs and suggesting improvements</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>An Associate&rsquo;s Degree or related work experience.</li><li>2+ years of experience working with written language data, including experience with annotation, and other forms of data markup.</li><li>Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale).</li><li>Strong understanding of U.S.-based culture, society, and norms.</li><li>Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.</li><li>Excellent attention to details and ability to focus for a long period of time.</li><li>Comfortable with high-school level STEM</li><li>Ability to effectively write and evaluate diverse subject matter across various domains</li><li>Ability to adapt writing style to suit various style guidelines and customers.</li><li>Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Bachelor&rsquo;s degree in a relevant field or equivalent professional experience.</li><li>Experience with creating complex data for LLM training and evaluation.</li><li>1+ year(s) of experience working with command line interfaces and basic UNIX commands.</li><li>Familiarity with common markup languages such as HTML, XML, Markdown.</li><li>Familiarity with common standard text formats such as JSON, CSV, RTF.</li><li>Working knowledge of Python or another scripting language.</li><li>Familiarity with regular expressions syntax.</li><li>Familiarity with Large Language Models.</li><li>Comfort in annotation work that may include sensitive content.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $40,400/year in our lowest geographic market up to $86,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Content Strategist, AGI Data Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon is looking for an AI Data Trainer to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities.<br>
<br>
Key job responsibilities<br>
As an AI Data Trainer, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Your key responsibilities will include (but not limited to) the below:<br>
<br>
<ul><li>Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content</li><li>Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines</li><li>Performing audits and quality checks of tasks completed by other specialists, if required</li><li>Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks</li><li>Diving deep into issues and implementing solutions independently</li><li>Identifying and reporting tooling bugs and suggesting improvements</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>An Associate&rsquo;s Degree or related work experience.</li><li>2+ years of experience working with written language data, including experience with annotation, and other forms of data markup.</li><li>Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale).</li><li>Strong understanding of U.S.-based culture, society, and norms.</li><li>Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.</li><li>Excellent attention to details and ability to focus for a long period of time.</li><li>Comfortable with high-school level STEM</li><li>Ability to effectively write and evaluate diverse subject matter across various domains</li><li>Ability to adapt writing style to suit various style guidelines and customers.</li><li>Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Bachelor&rsquo;s degree in a relevant field or equivalent professional experience.</li><li>Experience with creating complex data for LLM training and evaluation.</li><li>1+ year(s) of experience working with command line interfaces and basic UNIX commands.</li><li>Familiarity with common markup languages such as HTML, XML, Markdown.</li><li>Familiarity with common standard text formats such as JSON, CSV, RTF.</li><li>Working knowledge of Python or another scripting language.</li><li>Familiarity with regular expressions syntax.</li><li>Familiarity with Large Language Models.</li><li>Comfort in annotation work that may include sensitive content.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $40,400/year in our lowest geographic market up to $86,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

AI Data Trainer, AGI Data Services

Daice Labs

<div>
 <p>
  <strong>
   Company Description
  </strong>
 </p>
 <p>
  <span>
   Daice Labs is building hybrid AI frameworks that integrate today's models into systems that learn continuously. Founded by MIT CSAIL scientists, we focus on building new architectures by combining LLMs/DL with symbolic reasoning and bio-inspired system design. Operating on two tracks, our Product Lab develops industry-specific solutions for collaborative human teams + AI co-building and co-owning vertical applications, while our Research Lab explores how principles of natural intelligence can guide systems design of new hybrid AI architectures. Join us in taking the next leap in productivity through collaborative innovation.
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role Description
  </strong>
 </p>
 <p>
  This is a full-time remote role for a Data Analyst. The Data Analyst will be responsible for analyzing data, utilizing data analytics tools, statistical techniques, and data modeling to draw insights and support decision-making. The role involves preparing reports, visualizing data findings, and communicating outcomes to stakeholders effectively.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Analytical Skills and general Data Analytics
  </li>
  <li>
   Strong knowledge of Statistics and Data Modeling
  </li>
  <li>
   Excellent Communication skills to convey data insights
  </li>
  <li>
   Experience with data visualization tools and techniques
  </li>
  <li>
   Ability to work independently in a remote environment
  </li>
  <li>
   Bachelor&rsquo;s degree in Data Science, Mathematics, Statistics, or related field
  </li>
 </ul>
</div>


Data Analyst

Verndale

<div><p><b>About the Data Engineer Position</b></p><p>
At Verndale, we are building a next-generation Data &amp; Analytics practice designed to help organizations transform their complex data ecosystems into engines of clarity and intelligent action. Our vision is to empower clients to unlock hidden opportunities, optimize operations, and accelerate profitable growth through modern data architectures, trusted data management, advanced analytics, and AI-driven solutions. As part of a digital experience services firm with a strong heritage in customer experience and marketing technology, our Data &amp; Analytics team extends Verndale&rsquo;s core capabilities to deliver seamlessly integrated, insight-driven solutions that fuel personalization, operational excellence, and strategic foresight. We are pragmatic innovators, grounded in Verndale&rsquo;s entrepreneurial culture, who design scalable, well-governed data platforms and embed intelligence into business workflows, enabling clients to thrive in the era of generative AI and beyond.
</p><p><b>What You&rsquo;ll Do</b></p><ul><li>
Design, build, and maintain robust ETL/ELT pipelines (batch and streaming) that move data from diverse source systems into analytics, AI, and machine learning platforms.
</li><li>Develop and optimize data architectures (data lakes, warehouses, lakehouses, marts) that support real-time and batch analytics, ML workflows, and personalization use cases.
</li><li>Build automation and orchestration for data pipelines using modern workflow tools (Airflow, Prefect, dbt, Azure Data Factory, etc.).
</li><li>Partner with data architects, analysts, and client stakeholders to translate business requirements into technical designs and deliver data products with impact.</li><li>
Ensure data quality, lineage, observability, and security through validation, monitoring, and governance best practices.
</li><li>Optimize performance and cost-efficiency of pipelines and storage, leveraging partitioning, indexing, and query tuning.
</li><li>Support cloud-first architectures across AWS, Azure, and GCP, integrating services for compute, storage, and real-time data processing.
</li><li>Contribute to proofs of concept, platform migrations, and modernization efforts for client data platforms.
</li><li>Mentor junior engineers and contribute to the team&rsquo;s culture of technical excellence and continuous learning.
</li></ul><p><b>What We&rsquo;re Looking For
</b></p><ul><li>2&ndash;4+ years of experience in building production-grade data pipelines and data systems.</li><li>
Strong proficiency in SQL, Python, or Java/Scala, with experience in distributed data frameworks (Apache Spark, Presto, EMR)</li><li>
Experience with modern data platforms (Snowflake, BigQuery, Redshift, Databricks, Synapse)</li><li>
Hands-on skills with streaming technologies (Kafka, Kinesis, Pub/Sub) and real-time data ingestion</li><li>
Knowledge of data modeling principles and schema design for analytics and operational systems</li><li>
Familiarity with DevOps and CI/CD practices for data, including version control (GitHub/GitLab), testing, and deployment automation.</li><li>
Exposure to data governance, security, compliance, and observability frameworks (lineage, monitoring, metadata/catalog tools)</li><li>
Ability to collaborate in a consulting/client-facing environment, balancing technical depth with pragmatic delivery</li><li>
Employs generative AI (e.g. ChatGPT, Gemini, Claude) to accelerate code development, ETL pipeline design, and troubleshooting processes.</li><li>
Excellent communication skills, with the ability to explain trade-offs and design choices to both technical and non-technical stakeholders.
</li></ul><p><b>Nice-to-Have Skills</b></p><ul><li>
Experience with MLOps and preparing data pipelines for ML/AI model training, deployment, and monitoring</li><li>
Familiarity with modern data stack tools (dbt, Fivetran, Matillion, Terraform) and infrastructure-as-code practices</li><li>
Background in real-time personalization or event-driven architectures</li><li>
Exposure to NoSQL and graph databases (MongoDB, Cosmos DB, DynamoDB, Neo4j).
</li><li>Experience with containerization/orchestration platforms (Docker, Kubernetes, ECS).
</li><li>Familiarity with metadata, semantic layers, or catalog tools (e.g. Unity Catalog, Data Catalogs) and/or data observability tooling.</li><li>
Prior experience in a digital experience or consulting services environment, ideally integrating data with DXP, MarTech, or Commerce platforms.</li><li>
Contributions to open source, thought leadership, or participation in data/AI community events.</li></ul><h2 class="jobSectionHeader"><b>
Ten Great Reasons to Work at Verndale</b></h2><ul><li>
We are a rapidly growing company that is just as entrepreneurial today as when we were founded in 1998.</li><li>
We are relentlessly curious and enthusiastically solve our clients&rsquo; complex business problems through technology, data, and design.</li><li>
We foster a culture that enables every person in the organization to do the best work of their career.</li><li>
We offer regular training and professional development to move careers forward.</li><li>
Client and employee satisfaction are our two most important business metrics.</li><li>
We celebrate and champion diversity, equity, and inclusion.</li><li>
We offer generous paid company holidays, vacation, and paid sick time to every employee starting on day one.</li><li>
We provide top-of-the-line benefits including health, dental, vision, 401K, LTD, STD, Life Insurance, EAP, HRA and more.</li><li>
We support a healthy work/life balance.</li><li>
We are fully remote enabled and embrace the evolving definition of the workplace.</li></ul><h2 class="jobSectionHeader"><b>
About Verndale</b></h2><p>
Verndale is a digital experience agency dedicated to driving growth by helping businesses create meaningful human connections in an increasingly digital world. With offices in Boston, Montreal, Los Angeles, Quito, and hubs across the Americas, we partner with marketing and technology leaders to deliver personalized web, mobile, and ecommerce solutions that elevate customer experiences.<br>
At Verndale, we thrive on collaboration and innovation, offering a full range of services that span strategy, design, development, personalization, SEO, analytics, and digital advertising. We celebrate diversity and inclusion, striving to create a climate of respect essential for both individual and company success.<br>
If you're ready to be part of a passionate team dedicated to making an impact and driving growth, we invite you to explore a career at Verndale.</p><p><b>
Compensation &amp; Benefits</b></p><p>
$85,000 - $120,000 USD<br>
In accordance with applicable law, the above salary range provided is Verndale's reasonable estimate of the salary for this role. The actual amount may vary, based on non-discriminatory factors such as location, experience, knowledge, skills and abilities. In addition to salary, Verndale also offers a competitive benefits package.<br>
Verndale is proud of the fun, diverse, and respectful company environment we enjoy on a daily basis. Competitive compensation and comprehensive coverage for medical, dental, life, disability and a 401(k) savings plan are offered to all full-time employees. Ample company paid holidays and personal time off make having a work-life balance possible. For some roles, remote work is a definite possibility; we believe in hiring the best and keeping our own happy and motivated.<br>
 Verndale is an Equal Opportunity Employer. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.</p><p>
</p><p>jc2wTS1ciY</p></div>

Data Engineer

Explore 83+ Data annotator in Boston this October. Find roles across top companies and apply now to boost your career.