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Weekend Remote Data & Analytics Jobs in Springfield, MA

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Weekend Remote Data Analytics information

See Springfield, MA salary details

$24

$54

$94

How much do weekend remote data & analytics jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for weekend remote data & analytics in Springfield, MA is $54.56, according to ZipRecruiter salary data. Most workers in this role earn between $43.85 and $61.78 per hour, depending on experience, location, and employer.

Do data analysts work weekends?

Data analysts working remotely often have flexible schedules, but their work typically follows standard business hours during weekdays. Weekend work may be required occasionally for urgent projects or deadlines, depending on the employer and project needs. Overall, weekend work is not a regular expectation for most data analyst roles.

Is it possible to get a remote job as a weekend remote data & analytics professional?

Yes, it is possible to find remote data and analytics roles that offer weekend or flexible schedules, especially in freelance or contract positions. These roles often require strong skills in data analysis, tools like SQL or Python, and the ability to work independently outside traditional business hours.

What are popular job titles related to Weekend Remote Data & Analytics jobs in Springfield, MA?

For Weekend Remote Data & Analytics jobs in Springfield, MA, the most frequently searched job titles are:

What job categories do people searching Weekend Remote Data & Analytics jobs in Springfield, MA look for?

The top searched job categories for Weekend Remote Data & Analytics jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Weekend Remote Data & Analytics jobs?

Cities near Springfield, MA with the most Weekend Remote Data & Analytics job openings:

Weekend Remote Data Analytics jobs near you

Medical Microbiology Consultant - Remote

micro1 AI

Hartford, CT • Remote

$70 - $90/hr

Part-time

Posted 21 days ago

Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.

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