Stillwater, OK · On-site
$46K - $62K/yr
... programming languages for large-scale data analysis with in-depth knowledge in genomics, transcriptomics, and multi-modal data integration * Familiarity with genome assembly, annotation ...
Stillwater, OK · On-site
$46K - $62K/yr
... programming languages for large-scale data analysis with in-depth knowledge in genomics, transcriptomics, and multi-modal data integration * Familiarity with genome assembly, annotation ...
... programming languages for large-scale data analysis with in-depth knowledge in genomics, transcriptomics, and multi-modal data integration * Familiarity with genome assembly, annotation ...
... programming languages for large-scale data analysis with in-depth knowledge in genomics, transcriptomics, and multi-modal data integration * Familiarity with genome assembly, annotation ...
$47.6K - $59.8K
2% of jobs
$59.8K - $72K
9% of jobs
$80.5K is the 25th percentile. Wages below this are outliers.
$72K - $84.2K
20% of jobs
$84.2K - $96.4K
4% of jobs
$96.4K - $108.6K
4% of jobs
$108.6K - $120.8K
1% of jobs
$120.8K - $133K
0% of jobs
$133K - $145.3K
0% of jobs
The median wage is $151.4K / yr.
$145.3K - $157.5K
18% of jobs
$157.5K - $169.7K
0% of jobs
$174.4K is the 75th percentile. Wages above this are outliers.
$169.7K - $181.9K
41% of jobs
$47.6K
$136.2K
$181.9K
One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.
To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.
A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.
$46K - $62K/yr
Full-time
Posted 15 days ago
246 Noble Research Center
Stillwater, Oklahoma 74078-3035
(405) 744-6189
Fax: (405) 744-7799
Web: http://biochemistry.okstate.edu
POSITION ANNOUNCEMENT
POSTDOCTORAL FELLOW
Computational Geneticist
Department of Biochemistry and Molecular Biology
Oklahoma State University
Stillwater, OK 74078
The Department of Biochemistry and Molecular Biology invites applications for the position of Postdoctoral fellow for Computational Geneticist
Position Description
Funding is available for a postdoctoral research position to work in the Department of Biochemistry and Molecular Biology at Oklahoma State University. For more information on the Department, please see https://agriculture.okstate.edu/departments-programs/biochemistry/. The applicant hired will work with the Chen laboratory (https://experts.okstate.edu/charles.chen) that focuses on identifying genomic variants key to adaptation in large and complex plant genomes.
The successful candidate will lead computational efforts to characterize the importance of genomic variants, including other features such as structural variants and variations at multi-omics level, for predictive analysis. Our overarching goal is to derive genomics-enabled solution for agricultural advancement, tree improvement, and genetic resource management in the face of climate uncertainty. Additionally, the postdoc will receive mentorship and opportunities for professional development opportunities tailored to their career goals.
This is an 11-month temporary 100% research, non-tenure track position. Appointments are to be made for a term of one year or less. Reappointments for a total period of not more than two years may be made. Review of applications will begin immediately and continue until the position is filled with a suitable applicant.
Qualifications
Benefit Highlights
How to Apply and Required Documents
To learn more about OSU Agriculture and Stillwater, visit these websites.
