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Remote Google Data Entry Jobs in Springfield, MA

... remote client service delivery. Recruiting for this role ends on 06/30/2026 ... Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for.

... remote work opportunities, part-time benefits, and generous PTO. We believe that each day is an ... Excellent oral and written communication skills; strong attention to detail (data entry, computer ...

... Google Cloud Platform * Experience developing or supporting data pipelines and platform ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Call Center Representative

Holyoke, MA · On-site +1

$15.75 - $19.75/hr

... data entry, messaging practices using CIS and other administrative tasks. SCHEDULE: * Full Time M-F 8am-5pm * No Weekends or Holidays. LOCATION : * Holyoke, MA with remote work available THE ...

Call Center Representative

Holyoke, MA · On-site +1

$15.75 - $19.75/hr

... data entry, messaging practices using CIS and other administrative tasks. SCHEDULE: * Full Time M-F 8am-5pm * No weekends or holidays. LOCATION: * Holyoke, MA with remote work available THE ...

... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ... Support data science and model teams with platform needs, environment enablement, and deployment ...

Work you'll do As a GCP Manager on the AI & Data team, you will be responsible for... * Drive ... Google Cloud Platform cloud services and infrastructure architecture * 8+ years of experience in ...

Partner with IE on orchestration entry-point design (e.g., Azure Function endpoints, master-agent ... College degree in Computer Science, Software Engineering, Data Analytics, or equivalent practical ...

New

Partner with IE on orchestration entry-point design (e.g., Azure Function endpoints, master-agent ... College degree in Computer Science, Software Engineering, Data Analytics, or equivalent practical ...

New

Analyst, Growth

Springfield, MA · On-site +1

$75K - $85K/yr

Analyze internal and external data to identify trends, risks, and opportunities * Support financial ... Remote, US The EverCommerce team is distributed globally, with teams in the U.S., Canada, the U.K ...

Analyst, Growth

Hartford, CT · On-site +1

$75K - $85K/yr

Analyze internal and external data to identify trends, risks, and opportunities * Support financial ... Remote, US The EverCommerce team is distributed globally, with teams in the U.S., Canada, the U.K ...

Integration Architect

Hartford, CT · On-site +1

$70 - $85/hr

REMOTE Employment Type: Contract to Perm Role Overview We are seeking an experienced Integration ... Strong knowledge of Domain-Driven Design (DDD), canonical data modeling, and API-first development ...

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Remote Google Data Entry information

See Springfield, MA salary details

$11

$19

$28

How much do remote google data entry jobs pay per hour?

As of May 29, 2026, the average hourly pay for remote google data entry in Springfield, MA is $19.41, according to ZipRecruiter salary data. Most workers in this role earn between $16.30 and $21.78 per hour, depending on experience, location, and employer.

What is a Remote Google Data Entry job?

A Remote Google Data Entry job involves inputting, updating, and managing data within Google platforms such as Google Sheets, Google Docs, or Google Drive. Employees typically work from home and perform tasks like organizing information, verifying accuracy, and maintaining digital records. Strong attention to detail, basic computer skills, and familiarity with Google Workspace tools are essential. This role is often part-time or freelance, making it a flexible job option for those with good typing and organizational skills.

What are the key skills and qualifications needed to thrive in the Remote Google Data Entry position, and why are they important?

To thrive as a Remote Google Data Entry professional, you must have excellent attention to detail, fast and accurate typing skills, and a solid understanding of data management principles. Familiarity with Google Workspace tools (such as Google Sheets, Docs, and Drive) is essential, and experience with basic database systems or data entry software may be beneficial. Strong time management, self-motivation, and clear communication skills set top performers apart in remote environments. These abilities are crucial for ensuring data accuracy, meeting deadlines, and effectively collaborating with distributed teams.

What are the typical daily responsibilities of a Remote Google Data Entry specialist?

As a Remote Google Data Entry specialist, your typical day will involve entering, updating, and verifying information within Google Sheets or other Google Workspace applications, ensuring that all data is accurate and up-to-date. You may also be responsible for organizing digital files, reviewing existing data for errors or inconsistencies, and collaborating with team members via email or project management tools. Attention to detail is particularly important as even small mistakes can impact larger business operations. Depending on the employer, you might work independently or as part of a remote team and may have regular check-ins or progress tracking to ensure goals are met.
What are the most commonly searched types of Google Data Entry jobs in Springfield, MA? The most popular types of Google Data Entry jobs in Springfield, MA are:
What are popular job titles related to Remote Google Data Entry jobs in Springfield, MA? For Remote Google Data Entry jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Remote Google Data Entry jobs in Springfield, MA look for? The top searched job categories for Remote Google Data Entry jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Remote Google Data Entry jobs? Cities near Springfield, MA with the most Remote Google Data Entry job openings:
Infographic showing various Remote Google Data Entry job openings in Springfield, MA as of May 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 100% Remote job distribution, with an average salary of $40,363 per year, or $19.4 per hour.
GEN AI Sr Data Scientist/Data Scientist

GEN AI Sr Data Scientist/Data Scientist

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site, Remote

$90.16K - $166.08K/yr

Full-time

Posted 22 days ago


The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

53rd of 259 rated insurance


Job description

Sr Data Scientist - GD07AE
Data Scientist - GD08AE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
Senior Data Scientist - AI Horizontal Products
Step into the future with The Hartford as a Senior Data Scientist, where Generative AI is a core strategic capability-it's central to our enterprise strategy. Join a team that's pioneering AI-driven products across underwriting, claims, and customer service, transforming how we operate and make decisions at scale.
As part of our Horizontal AI Products Team, you will investigate emerging models, architectures, and techniques; design rigorous evaluation frameworks; and prototype new products that inform how GenAI is operationalized across the organization. This position is ideal for someone who is intellectually curious, technically deep, and motivated by advancing the state of practice in enterprise Generative AI.
This position offers a Hybrid or Remote work arrangement. Candidates living near one of our locations are expected to work in the office three days per week (Tuesday-Thursday).
Research & Technical Responsibilities
  • Conduct applied research in Generative AI, exploring emerging foundation models, architectures, and inference strategies to address enterprise AI use cases.
  • Lead investigation and experimentation across areas such as:
    • Agent-based and multi-step reasoning workflows
    • Retrieval-augmented generation (RAG)
    • Long-context modeling and information synthesis
    • Prompting strategies and controllability of generative outputs
  • Design and execute rigorous experimental frameworks to evaluate model quality, robustness, latency, cost, and reliability using:
    • Automated metrics
    • Human-in-the-loop feedback
    • LLM-as-a-judge and comparative evaluation methodologies
  • Create benchmarks and build reproducible pipelines to compare vendor models, open-source alternatives, and internal approaches.
  • Rapidly prototype research ideas using modern GenAI tooling such as:
    • Vertex AI / Google Agent Development Kit
    • LangChain / LangGraph
    • RAG frameworks
    • Hugging Face ecosystems
    • OpenAI APIs
  • Translate research findings into deployable GenAI capabilities, working closely with engineering and MLOps teams to ensure scalability, observability, and responsible AI practices.
  • Contribute to the enterprise GenAI roadmap by identifying gaps, risks, and opportunities informed by ongoing research and industry trends.
  • Partner with stakeholders across Data Science, Technology, and Business teams to align research directions with real-world operational challenges.

Qualifications
  • Masters and 5+ years of industry experience OR PhD and 3+ years of industry experience in machine learning or data science and with 1+ years focused on GenAI.
  • Strong proficiency in Python and modern AI/ML frameworks
  • Demonstrated experience designing experiments, running evaluations, and drawing conclusions from empirical results.
  • Hands-on experience with Generative AI frameworks and platforms, including Vertex AI, ADK, LangChain/LangGraph, RAG pipelines, Hugging Face, and OpenAI APIs.
  • Deep understanding of:
    • Agent workflows and tool-augmented LLMs
    • Prompt engineering and model controllability
    • Retrieval-augmented generation (RAG) design trade-offs
    • Generative model evaluation and benchmarking techniques
  • Experience collaborating with engineering and MLOps teams to transition prototypes into production systems.
  • Strong written and verbal communication skills, including the ability to explain research findings, limitations, and trade-offs to both technical and non-technical audiences.
  • Authorization to work in the United States without company sponsorship. STEM OPT I-983 Training Plan endorsement is not supported for this role.

Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$90,160 - $166,080
The posted salary range reflects our ability to hire at different position titles and levels depending on background and experience.
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

What The Hartford employees say

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Benefits

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Hartford logo

About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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